www.liasesforas.com Open in urlscan Pro
183.87.220.182  Public Scan

Submitted URL: http://liasesforas.juvact.com/click/B1Zrv5OSMiibKHfgtfgcHirvntlBp8Updt9_8OgSX6rVVATTPy8ulC_L9sKxwSgM
Effective URL: https://www.liasesforas.com/products.aspx?product=6
Submission: On April 25 via api from SG — Scanned from DE

Form analysis 1 forms found in the DOM

POST ./products.aspx?product=6

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">
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                  <p>RESSEX</p>
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">
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                  <p>DESKTOP VALUATION</p>
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">
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                  <p>Desktop Feasibility Solution (DFS)</p>
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">
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                  <p>CRYSTAL</p>
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                  </div>
                  <p>OPPS</p>
                </li>
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                  <div class="svg-icon"><img
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                  </div>
                  <p>Real Estate Market Reports</p>
                </li>
              </div>
            </div>
          </ul>
        </div>
      </section>
      <main id="product_widget_container" class="product-container pb-o">
        <!--Ressex-->
        <div id="product_widget_1" class="tab-content-product pb-o">
          <section>
            <div class="container">
              <h1 class="heading-title text-uppercase">Ressex (Real estate Sensitivity Index)</h1>
              <p class="heading-tescription"> RESSEX™&nbsp;is a complete online interface that allows organized and structured access to our geospatial real estate database. Ressex fulfills the requirement for instant and real time information on
                property trends and analysis for over 130 census towns in the country. </p>
              <p> Liases Foras has been collecting accurate and unbiased data on real estate production, sales and pricing since 2000. Ressex gives users access to this rich data and allows the users to analyze historic and geographical trends in:
              </p>
              <ul class="ressex-list">
                <li>Pricing</li>
                <li>Housing production and sales</li>
                <li>Sales velocity</li>
                <li>Months inventory</li>
                <li>Construction progress</li>
                <li>Efficient product types</li>
                <li>Emerging and declining markets</li>
                <li>Successful and unsuccessful developers</li>
              </ul>
              <p>As the database is huge, Ressex has been divided into four categories:</p>
              <ul class="ressex-list">
                <li> Dashboard for lenders/bankers</li>
                <li>Dashboard for developers/builders</li>
                <li>Dashboard for macro housing trend seekers</li>
                <li> Dashboard for building material suppliers</li>
              </ul>
            </div>
          </section>
          <div class="ressex-slider-wrapper bg-offwhite">
            <section>
              <!---Small-tag -->
              <div class="container carousel-nav flickity-enabled is-draggable" tabindex="0">
                <div class="flickity-viewport" style="height: 58px; touch-action: pan-y;">
                  <div class="flickity-slider" style="left: 0px; transform: translateX(-0.37%);">
                    <div class="carousel-cell is-selected is-nav-selected" aria-selected="true" style="position: absolute; left: 0%;"> Lenders </div>
                    <div class="carousel-cell" aria-selected="false" style="position: absolute; left: 25.25%;"> Developers </div>
                    <div class="carousel-cell" aria-selected="false" style="position: absolute; left: 50.5%;"> MACRO RESSEX </div>
                    <div class="carousel-cell" aria-selected="false" style="position: absolute; left: 75.75%;"> Suppliers </div>
                  </div>
                </div>
              </div>
              <!---Small-tag -->
              <div class="ressex-slider-section flickity-enabled is-draggable" tabindex="0">
                <!-- Resrex Lender-->
                <!-- Resrex Lender-->
                <!-- CUSTOMISED DASHBOARD FOR DEVELOPERS/BUILDERS-->
                <!-- CUSTOMISED DASHBOARD FOR DEVELOPERS/BUILDERS-->
                <!-- DASHBOARD FOR MACRO RESSEX USERS-->
                <!--DASHBOARD FOR MACRO RESSEX USERS-->
                <!-- RESSEX FOR BUILDING MATERIAL PLAYERS-->
                <!--RESSEX FOR BUILDING MATERIAL PLAYERS-->
                <div class="flickity-viewport" style="height: 901px; touch-action: pan-y;">
                  <div class="flickity-slider" style="left: 0px; transform: translateX(-400%);">
                    <div class="ressex-lender-meta is-selected" aria-selected="true" style="position: absolute; left: 400%;">
                      <div class="container">
                        <h2 class="heading-title text-uppercase">Customised dashboard for lender/banker</h2>
                        <p> Created for decision-makers, bankers can go through the overall distribution in the market, find out which city seems to be doing better than the others and which locations/micro-markets within the city have more demand
                          than the remaining ones. Decision-maker can also check projects where higher sales have been recorded and also find out performance of builders. With help of multitude of interactive filters, decision-maker will be able to
                          sort out top builders and would also have the option to export the file on local machine for reference. Besides all kinds of analysis can be done at overall city/region level and can be layered down to
                          suburbs/micro-market/location/PIN code. So for instance, Ressex would not only tell you where maximum sales were noted, but it will also show which project or builder attracted most number of buyers. Bankers can use the
                          product to: </p>
                        <ul class="ressex-list">
                          <li> To find out performing markets</li>
                          <li> Analyse market distribution</li>
                          <li> Understand the banking penetration in the market</li>
                          <li> Build strategy to capture market</li>
                          <li> Design lending products to meet the needs of particular markets</li>
                          <li> Allocate resources to capture markets efficiently</li>
                          <li> Identify emerging opportunities</li>
                          <li> Gauge risk&nbsp;</li>
                        </ul>
                      </div>
                      <div>
                        <div class="container">
                          <p> Lender needs overall distribution in the market; the top management wants to view how market is distributed across geography, builders, project&nbsp; Ressex gives tree map and map based analytics&nbsp; It is divided into
                            five layers/categories, from all cities one can go down to MMR, NCR among others and after selection can further break the dashboard into micro markets, check the performance of builders, value of stock sold. It will show
                            who are the largest builder and the smallest builder&nbsp; Lenders can create tailor made campaigns and also build relationship with right target audience </p>
                          <p> <b>Key features</b></p>
                          <ul class="ressex-list">
                            <li>Find which are the top builders, top locations, top new launches&nbsp;</li>
                            <li>Lenders can know where exactly untapped opportunities are placed&nbsp;</li>
                            <li>Get catchment dynamics with quarterly and annual trends</li>
                            <li>Get market penetration</li>
                            <li>Lenders can share APF (approved project finance) list to know the share they have in the universe&nbsp;</li>
                            <li>A lender will be able to see how many projects are being supported by them out of the total universe&nbsp;</li>
                            <li>Lender can also check price trends&nbsp;</li>
                          </ul>
                        </div>
                      </div>
                    </div>
                    <div class="ressex-lender-meta" aria-selected="false" style="position: absolute; left: 100%;">
                      <div class="container">
                        <h2 class="heading-title text-uppercase">CUSTOMISED DASHBOARD FOR DEVELOPERS/BUILDERS</h2>
                        <p> Specifically tailored to meet the individual needs developers will be able to gauge health of realty sector through the map-based dashboard quickly and effectively at macro level and within a chosen catchment where his/her
                          project is located. </p>
                        <p> Designed to throw up market indicators such as demand and supply, best product, ticket size, flat size, price range, price trends among others, the product offers drill-down feature from region level and suburb level up to
                          catchment and project level. </p>
                        <p> Developer will also have the flexibility to define the catchment or micro-market by drawing a polygon or a circle. Subsequently dashboard will produce geo-tagged projects within the catchment on the map which can be
                          further explored. </p>
                        <p> Besides developers can also select and analyse multiple locations as per geo spatial layers of municipal boundaries (municipal wards) and PIN codes (postal information number) as well. </p>
                        <p> Developers can check performance of housing projects undertaken by competitors, go through distribution of supply in different price brackets vis-a-vis construction stage of a project, possession timeline and also do
                          spatial proximity analysis through the dashboard. Performance of an individual builder with regard to estimates on quarterly stock sold and receipts generated through sales can also be viewed. </p>
                        <p> Data can be sliced and diced to find out performance attributes of a certain segment such as affordable, budget, high-end or ultra luxury or according to product type such as 1BHK, 2BHK, 3BHK or in different price bands.
                        </p>
                        <p> Developers can use the dashboard to </p>
                        <ul class="ressex-list">
                          <li> Find emerging markets </li>
                          <li> Evaluate land purchase decision</li>
                          <li> Carry out consumer profiling in certain catchment </li>
                          <li> Observe macro/micro trends for demand, supply, vacancy among others</li>
                          <li> Assess optimum product mix, type and pricing</li>
                          <li> Carry out competition analysis </li>
                          <li> Develop project launch, marketing and exit strategies</li>
                          <li> Gauge risk&nbsp;</li>
                          <li>Prepare investor report </li>
                        </ul>
                        <p> Unique features offered </p>
                        <ul class="ressex-list">
                          <li> Drill down approach from macro to micro to project level </li>
                          <li> Option to draw multiple catchments with different distance ranges</li>
                          <li> Proximity analysis to nearest landmark of competing projects </li>
                          <li> Construction progress of competing projects and possession timeline</li>
                          <li>Estimated performance of builders </li>
                        </ul>
                      </div>
                    </div>
                    <div class="ressex-lender-meta" "="" aria-selected=" false" style="position: absolute; left: 200%;">
                      <div class="container">
                        <h2 class="heading-title text-uppercase">DASHBOARD FOR MACRO RESSEX USERS</h2>
                        <p> The dashboard serves the needs for holistic data seekers as it offers macro trends in housing market at national, regional and suburb level. Institutions, government agencies, universities, research institutes, PhD
                          scholars and individuals interested in housing sector can back their works with the help of empirical data collected since 2003 just when Indian government opened doors of realty sector for foreign investors. </p>
                        <p> Data collected by Liases Foras empowers RESIDEX and Housing Price Index, the two indices used by Reserve Bank of India and National Housing Bank to gauge the health of the Indian real estate market. </p>
                        <p> Data seekers can use dashboard for </p>
                        <ul class="ressex-list">
                          <li>Urban planning </li>
                          <li>Strengthening thesis statement</li>
                          <li>Preparing research projects</li>
                          <li>In sharpening policy framework</li>
                          <li>Formulation of solution to address housing shortage</li>
                          <li> Carry out competition analysis </li>
                          <li> Develop project launch, marketing and exit strategies</li>
                          <li> Gauge risk&nbsp;</li>
                          <li>Prepare investor report </li>
                        </ul>
                        <p> Unique features offered </p>
                        <ul class="ressex-list">
                          <li> Demand and supply trends </li>
                          <li> Sold and unsold inventory</li>
                          <li> Price trends </li>
                          <li> Total units sold annually and quarterly</li>
                          <li> Total sqft consumed annually and quarterly</li>
                          <li> Value of stock sold annually and quarterly </li>
                        </ul>
                      </div>
                    </div>
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                        <h2 class="heading-title text-uppercase">RESSEX FOR BUILDING MATERIAL SUPPLIER</h2>
                        <p> Dashboard for building material players has been designed to help identify business opportunity for building material companies and large suppliers. It offers quarterly data collated across 60 cities and provide new
                          launches, large developers and better performing markets. Companies can also track health and performance of developers/builders for due diligence. </p>
                        <p> Building material players such as cement companies, elevator companies, earth moving manufacturers, electrical, sanitary and hardware companies can easily identify unexplored territories. </p>
                        <p> For better targeting and marketing opportunities dashboard offers flexibility to choose projects as per construction stage such as excavation, foundation, commissioning or finishing. As ticket size and price range of
                          apartment units are also mentioned, players would be able to identify target group. </p>
                        <p> Apart from project level report, the dashboard will also provide consolidated report of developers in a certain market. Our developers’ rating module also helps the supplier to identify the health of the developers. </p>
                        <p> Building material players can use dashboard for </p>
                        <ul class="ressex-list">
                          <li>Sharpening business plan and due diligence </li>
                          <li>Identify right target group and opportunities</li>
                          <li>Finding right market segment </li>
                          <li>Gauge market risk and builders under stress </li>
                        </ul>
                        <p> Features offered </p>
                        <ul class="ressex-list">
                          <li> List of projects as per construction stage </li>
                          <li>Price range and size of units for right profiling of potential customers</li>
                          <li> Performance of builders as per value of stock sold </li>
                        </ul>
                      </div>
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              <h2 class="heading-title text-uppercase">HOW IT WORKS?</h2>
              <p class="heading-tescription"> Ressex allows you to flip between various scales of real estate data with agility. It offers data and analysis from the macro level right down to the individual project level, complete with interactive
                graphical representations. The data and analysis can be viewed on an interactive and user-friendly dashboard and downloaded as CSV, PDF, GIS shapefiles, or images. </p>
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82,-46 163,-97 239,-152z">
                        </path>
                      </g>
                    </svg>
                  </span> DATA
                </h2>
                <div class="panel-group" id="data-accordian" role="tablist" aria-multiselectable="true">
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingOne">
                      <h4 class="panel-title">
                        <a role="button" data-toggle="collapse" data-parent="#accordion" href="#collapseOne" aria-expanded="true" aria-controls="collapseOne">
                            Geographical Coverage and Scale 
                        </a>
                      </h4>
                    </div>
                    <div id="collapseOne" class="panel-collapse collapse in" role="tabpanel" aria-labelledby="headingOne">
                      <div class="panel-body">
                        <p> Information can be accessed at both macro (country, state, city, town) and micro level (micro market, ward, block, project and unit). Following cities are covered under Ressex: </p>
                        <div class="cities-wrapper">
                          <ul class="no-border">
                            <li>National Capital Region (NCR or Delhi region)</li>
                            <li>Mumbai Metropolitan Region (MMR)</li>
                            <li>Outer MMR</li>
                            <li>Pune</li>
                            <li>Outer Pune</li>
                            <li>Hyderabad</li>
                            <li>Outer Hyderabad</li>
                            <li>Nagpur</li>
                            <li>Lonavala</li>
                            <li>Bengaluru</li>
                            <li>Outer Bengaluru</li>
                            <li>Chennai</li>
                            <li>Kolkata</li>
                            <li>Ahmedabad</li>
                            <li>Aurangabad</li>
                            <li>Kolhapur</li>
                            <li>Nashik</li>
                            <li>Solapur</li>
                            <li>Goa </li>
                            <li>Indore</li>
                            <li>Chandigarh</li>
                            <li>Jaipur</li>
                            <li>Surat</li>
                            <li>Vadodara</li>
                            <li>Cochin </li>
                            <li>Kanpur</li>
                            <li>Lucknow</li>
                            <li>Thiruvananthapuram</li>
                            <li>Coimbatore</li>
                            <li>Mangalore</li>
                            <li>Raipur</li>
                            <li>Patna</li>
                            <li>Bhopal</li>
                            <li>Bhubaneswar</li>
                            <li>Jodhpur</li>
                            <li>Neemrana</li>
                            <li>Rajkot</li>
                            <li>Kota</li>
                            <li>Srinagar</li>
                            <li>Shirdi</li>
                            <li>Tirupur</li>
                            <li>Vizag</li>
                            <li>Karnal</li>
                            <li>Dehradun</li>
                            <li>Ludhiana</li>
                            <li>Guwahati</li>
                            <li>Vijayawada</li>
                            <li>Meerut</li>
                            <li>Alwar</li>
                            <li>Tiruchirappalli</li>
                            <li>Daman</li>
                            <li>Vapi</li>
                            <li>Pondicherry</li>
                            <li>Silvassa</li>
                            <li>Agartala</li>
                            <li>Shimla</li>
                            <li>Dhanbad</li>
                            <li>Ranchi</li>
                            <li>Jamshedpur</li>
                            <li>Sangli</li>
                          </ul>
                        </div>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingTwo">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-accordian" href="#collapseTwo" aria-expanded="false" aria-controls="collapseTwo">
                            Primary (Developers) Properties Data Attributes
                        </a>
                      </h4>
                    </div>
                    <div id="collapseTwo" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingTwo">
                      <div class="panel-body">
                        <h3 class="WhoisItForH3">Residential</h3>
                        <div class="clearfix"></div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>City Type</li>
                            <li>City</li>
                            <li>Suburb</li>
                            <li>Location</li>
                            <li>Area</li>
                            <li>Road</li>
                            <li>Developer Group</li>
                            <li>Developer</li>
                            <li>Project</li>
                            <li>Sub Project</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Product Types</li>
                            <li>Qtr of Financial Year</li>
                            <li>Month &amp; Year of Launch</li>
                            <li>Month &amp; Year of Possession</li>
                            <li>Latitude &amp; Longitude</li>
                            <li>Distance from CBD</li>
                            <li>Launched Price in PSF</li>
                            <li>Current Price in PSF</li>
                            <li>Base Cost of Unit</li>
                            <li>Months Inventory</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Sales Velocity</li>
                            <li>Avg Unit Size</li>
                            <li>Carpet Area in Sqft</li>
                            <li>Saleable Area in Sqft</li>
                            <li>Super Built to Carpet Ratio</li>
                            <li>Sale During the Qtr</li>
                            <li>Sold in last 12 months</li>
                            <li>Gross Sold Till Qtr End</li>
                            <li>Unsold as on Qtr end</li>
                            <li>Gross Supply since inception</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Supply Added During Current Qtr</li>
                            <li>Supply During the Qtr</li>
                            <li>Value of Stock Sold</li>
                            <li>Value of Stock Unsold</li>
                            <li>Efficiency Ratio</li>
                            <li>Construction Status</li>
                            <li>Construction Stages</li>
                            <li>Amenities</li>
                            <li>Updated Construction Photographs</li>
                          </ul>
                        </div>
                        <div class="clearfix"></div>
                        <div class="mb20 mb20-sm"></div>
                        <h3 class="WhoisItForH3">Commercial</h3>
                        <div class="clearfix"></div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>State</li>
                            <li>City Type</li>
                            <li>City </li>
                            <li>Suburb </li>
                            <li>Location</li>
                            <li>Area</li>
                            <li>Road</li>
                            <li>Developer Group</li>
                            <li>Value of Stock Unsold</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Developer</li>
                            <li>Project</li>
                            <li>Sub Project</li>
                            <li>Type</li>
                            <li>Qtr of Financial Year</li>
                            <li>Month &amp; Year of Launch</li>
                            <li>Month &amp; Year of Launch</li>
                            <li>Latitude</li>
                            <li>Construction Status</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Longitude</li>
                            <li>Parking Charges</li>
                            <li>Lock In Period</li>
                            <li>Maintenance</li>
                            <li>Loading</li>
                            <li>Out Right Rate</li>
                            <li>Lease Rate</li>
                            <li>Distance From CBD</li>
                            <li>Slab</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Gross Sold Till Qtr End</li>
                            <li>Unsold as on Qtr End</li>
                            <li>Unsold as on Qtr End</li>
                            <li>Gross Supply Since Inception</li>
                            <li>Sale During the Qtr</li>
                            <li>Sales in last 12 months</li>
                            <li>Supply During the quarter</li>
                            <li>Supply added During Current qtr</li>
                          </ul>
                        </div>
                        <div class="clearfix"></div>
                        <div class="mb20 mb20-sm"></div>
                        <h3 class="WhoisItForH3">Retail</h3>
                        <div class="clearfix"></div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Project name</li>
                            <li>Developer name</li>
                            <li>Sub-project details</li>
                            <li>Launch date</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Average unit size</li>
                            <li>Occupancy Status (based on first lease)</li>
                            <li>Saleable to Carpet ratios</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Price Sheet</li>
                            <li>Possession date</li>
                            <li>Construction stage</li>
                            <li>Lease and outright rates</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Car parking</li>
                            <li>Maintenance</li>
                            <li>Lock-in period</li>
                          </ul>
                        </div>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingsecondary">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-accordian" href="#collapse-seondary" aria-expanded="false" aria-controls="collapseThree">
                            Secondary (Resale) Properties Data Attributes
                        </a>
                      </h4>
                    </div>
                    <div id="collapse-seondary" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingsecondary">
                      <div class="panel-body">
                        <h3 class="WhoisItForH3">Data Points Covered</h3>
                        <div class="clearfix"></div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Property Name</li>
                            <li>Developer Name</li>
                            <li>Property Type</li>
                            <li>Property size</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Amenities</li>
                            <li>No. of rooms</li>
                            <li>Types of rooms</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Property Location</li>
                            <li>Longitude</li>
                            <li>Latitude</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Average size of rooms</li>
                            <li>Property Rent</li>
                            <li>Location Trends</li>
                          </ul>
                        </div>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingThree">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-accordian" href="#collapseThree" aria-expanded="false" aria-controls="collapseThree">
                            Registration Properties Data Attributes
                        </a>
                      </h4>
                    </div>
                    <div id="collapseThree" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingFour">
                      <div class="panel-body">
                        <h3 class="WhoisItForH3">Data Points Covered</h3>
                        <div class="clearfix"></div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Property Name</li>
                            <li>Developer Name</li>
                            <li>Property Type</li>
                            <li>Property size</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Amenities</li>
                            <li>No. of rooms</li>
                            <li>Types of rooms</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Property Location</li>
                            <li>Longitude</li>
                            <li>Latitude</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Average size of rooms</li>
                            <li>Property Rent</li>
                            <li>Location Trends</li>
                          </ul>
                        </div>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingFour">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-accordian" href="#collapseFour" aria-expanded="false" aria-controls="collapseFour">
                                        Rental Data Attributes
                                </a>
                      </h4>
                    </div>
                    <div id="collapseFour" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingFour">
                      <div class="panel-body">
                        <h3 class="WhoisItForH3">Data Points Covered</h3>
                        <div class="clearfix"></div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Property Name</li>
                            <li>Developer Name</li>
                            <li>Property Type</li>
                            <li>Property size</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Amenities</li>
                            <li>No. of rooms</li>
                            <li>Types of rooms</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Property Location</li>
                            <li>Longitude</li>
                            <li>Latitude</li>
                          </ul>
                        </div>
                        <div class="col-md-3">
                          <ul class="WhoisItFor">
                            <li>Average size of rooms</li>
                            <li>Property Rent</li>
                            <li>Location Trends</li>
                          </ul>
                        </div>
                      </div>
                    </div>
                  </div>
                </div>
                <!-- Data Start-->
                <!--Analytics -->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
                      viewBox="0 0 10000 10000" xmlns:xlink="http://www.w3.org/1999/xlink">
                      <g>
                        <metadata id="analytcs-pro"></metadata>
                        <path fill="#ED4658"
                          d="M4538 4174l0 5628c0,109 -89,197 -197,197l-1374 0c-108,0 -197,-88 -197,-197l0 -5628c0,-108 89,-197 197,-197l1374 0c108,0 197,89 197,197zm-2694 2504l0 3125c0,109 -87,197 -197,197l-1370 0c-110,0 -197,-88 -197,-197l0 -3125c0,-108 87,-196 197,-196l1370 0c110,0 197,88 197,196zm8076 -4325l0 7450c0,109 -89,197 -197,197l-1372 0c-108,0 -197,-88 -197,-197l0 -7450c0,-108 89,-197 197,-197l1372 0c108,0 197,89 197,197zm-2692 2870l0 4579c0,109 -87,197 -197,197l-1374 0c-108,0 -197,-88 -197,-197l0 -4579c0,-108 89,-197 197,-197l1374 0c110,0 197,89 197,197zm2242 -4595c0,343 -281,628 -628,628 -128,0 -254,-40 -356,-115l-1843 1329c17,55 26,107 26,164 0,347 -283,628 -628,628 -331,0 -601,-253 -624,-578l-1571 -452c-115,163 -303,266 -513,266 -87,0 -171,-19 -251,-53l-1769 1979c52,92 80,195 80,301 0,350 -283,628 -628,628 -348,0 -628,-278 -628,-628 0,-343 280,-628 628,-628 81,0 163,17 236,50l1776 -1988c-46,-88 -72,-185 -72,-289 0,-346 283,-626 628,-626 333,0 606,259 626,588l1562 446c113,-166 306,-272 520,-272 131,0 259,42 364,119l1836 -1323c-19,-57 -27,-115 -27,-174 0,-347 282,-628 628,-628 205,0 395,96 513,262 75,104 115,232 115,366z">
                        </path>
                      </g>
                    </svg>
                  </span> ANALYTICS
                </h2>
                <div class="panel-group" id="data-analytics" role="tablist" aria-multiselectable="true">
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingOne-analytics">
                      <h4 class="panel-title">
                        <a role="button" data-toggle="collapse" data-parent="#data-analytics" href="#collapseOne-analytics" aria-expanded="true" aria-controls="collapseOne-analytics">
                                Trends
                            </a>
                      </h4>
                    </div>
                    <div id="collapseOne-analytics" class="panel-collapse collapse in" role="tabpanel" aria-labelledby="headingOne-analytics">
                      <div class="panel-body">
                        <p> Every vector defines its own price and value. The dashboard manifests the trend of demand, supply, price, month’s inventory with relation to its vector positioning. Glimpse through the behaviour of the market and read the
                          analysis hidden behind the spatial polarizations by studying the impact of distance from CBD and it’s co-relation to the product performance. </p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingTwo-analytics">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-analytics" href="#collapseTwo-analytics" aria-expanded="false" aria-controls="collapseTwo">

                                    Spatial Analytics
                                
                            </a>
                      </h4>
                    </div>
                    <div id="collapseTwo-analytics" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingTwo-analytics">
                      <div class="panel-body">
                        <p> Every vector defines its own price and value. The dashboard manifests the trend of demand, supply, price, month’s inventory with relation to its vector positioning. Glimpse through the behaviour of the market and read the
                          analysis hidden behind the spatial polarizations by studying the impact of distance from CBD and it’s co-relation to the product performance. </p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingThree-analytics">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-analytics" href="#collapseThree-analytics" aria-expanded="false" aria-controls="collapseThree">

                                Maps &amp; Matrix
                                
                            </a>
                      </h4>
                    </div>
                    <div id="collapseThree-analytics" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingThree-analytics">
                      <div class="panel-body">
                        <p> Map Visualization is fantastic feature on the dash board, which will help you visualize the spatial distribution of the data across different cities. The map visualization tool can be used to represent the data at the
                          suburb level and the area level in different parameters like, sales, supply, price, cost of apartment, wt. average price, month’s inventory etc which can be selected and filtered as per your requirement. The spatial analysis
                          is useful while researching the heterogeneity or homogeneity of the real estate market, it’s growth direction and helps understand the numerical data in a different dimension. </p>
                        <p> These maps can be downloaded and can be used for your internal presentations, media reports; investor presentation can be very insightful in determining the future growth directions. </p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingFour-analytics">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-analytics" href="#collapseFoure-analytics" aria-expanded="false" aria-controls="collapseFour">

                                        Performance Parameter
                                
                                    </a>
                      </h4>
                    </div>
                    <div id="collapseFoure-analytics" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingFour-analytics">
                      <div class="panel-body">
                        <p> Identify your investment opportunities and risks with a thorough understanding of developer and project performance. Get detailed report cards of the selected developer and projects with important facts such as magnitude
                          of supply, geographical spread, business turnover, absorption status, construction status, flat cost, sales velocity, month’s inventory, etc. This can help assess performance of developers and competition projects which can
                          be of aid during internal strategy meetings and investor communication. </p>
                      </div>
                    </div>
                  </div>
                </div>
                <!--Analytics -->
                <!--Flexibilities-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
                      viewBox="0 0 10000 10000" xmlns:xlink="http://www.w3.org/1999/xlink">
                      <g>
                        <metadata></metadata>
                        <path fill="#ED4658"
                          d="M0 1517l0 5950c0,305 298,583 600,583l3450 0 0 700 -783 0c-194,0 -204,317 16,317l3434 0c219,0 212,-317 16,-317l-783 0 0 -700 3450 0c305,0 600,-281 600,-583l0 -5950c0,-300 -300,-584 -600,-584l-8800 0c-300,0 -600,285 -600,584zm3400 2066c0,85 60,167 150,167l617 0c208,0 195,-317 0,-317l-600 0c-85,0 -167,72 -167,150zm1200 0c0,99 60,167 150,167l617 0c203,0 198,-317 -17,-317l-600 0c-82,0 -150,68 -150,150zm2383 17c0,82 68,150 150,150l617 0c200,0 200,-317 0,-317l-617 0c-90,0 -150,83 -150,167zm-1216 -1267c0,99 60,167 150,167l616 0c200,0 200,-317 0,-317l-616 0c-83,0 -150,68 -150,150zm-1200 0c0,99 60,167 150,167l616 0c200,0 200,-317 0,-317l-616 0c-83,0 -150,68 -150,150zm-1200 0c0,84 38,167 150,167l616 0c204,0 195,-317 0,-317l-616 0c-83,0 -150,68 -150,150zm3600 0c0,99 60,167 150,167l616 0c209,0 195,-317 0,-317l-616 0c-83,0 -150,68 -150,150zm1200 0c0,92 58,167 150,167l650 0c147,0 180,-317 -34,-317l-600 0c-84,0 -166,72 -166,150zm-2250 1417l666 0c152,0 188,-317 -33,-317l-600 0c-221,0 -187,317 -33,317zm2266 -167c0,115 75,167 117,167 186,0 676,33 746,-37 111,-112 30,-280 -113,-280l-600 0c-82,0 -150,68 -150,150zm-5900 -1083l650 0c201,0 200,-317 -16,-317l-600 0c-223,0 -178,317 -34,317zm217 1083c0,259 -51,484 167,484 179,0 150,-203 150,-317 99,0 316,28 316,-150 0,-216 -268,-167 -483,-167 -82,0 -150,68 -150,150zm-1250 -1250c0,259 -51,484 167,484 179,0 150,-203 150,-317 99,0 316,28 316,-150 0,-216 -268,-167 -483,-167 -82,0 -150,68 -150,150zm0 3834l0 716c0,200 317,200 317,0l0 -716c0,-195 -317,-209 -317,0zm0 -2817l0 750c0,145 317,178 317,-33l0 -717c0,-200 -317,-200 -317,0zm0 1400l0 733c0,194 317,204 317,-16 0,-203 37,-738 -48,-819 -92,-88 -269,-41 -269,102zm1250 -117l0 750c0,200 317,200 317,0l0 -750c0,-199 -317,-199 -317,0zm0 1467l0 750c0,200 317,200 317,0l0 -750c0,-200 -317,-200 -317,0zm1319 -1558l5762 0 0 -2924c0,-151 -124,-275 -275,-275l-8660 0c-151,0 -275,124 -275,275l0 5706c0,151 124,274 275,274l3028 0 0 -2911c0,-80 65,-145 145,-145zm3273 1736l848 -204 -173 350 1653 815 -148 300 -1653 -814 -173 350 -354 -797z">
                        </path>
                      </g>
                    </svg>
                  </span> FLEXIBILITIES
                </h2>
                <div class="panel-group" id="data-flexibilities" role="tablist" aria-multiselectable="true">
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingOne-flexibilities">
                      <h4 class="panel-title">
                        <a role="button" data-toggle="collapse" data-parent="#data-flexibilities" href="#collapseOne-flexibilities" aria-expanded="true" aria-controls="collapseOne-flexibilities">
                                Drill Down
                            </a>
                      </h4>
                    </div>
                    <div id="collapseOne-flexibilities" class="panel-collapse collapse in" role="tabpanel" aria-labelledby="headingOne-flexibilities">
                      <div class="panel-body">
                        <p> This feature is in built into the dashboard. It allows you drill down into any parameter you are analysing at the macro level into its smallest break up. Drill Down enables you to get a deep dive into the database and
                          evaluate it right from city level to project level. Further, the flat level data can be also be extracted for each project. Built on an extremely user-friendly interface, it is here to offer both broad and in-depth analysis
                          for each attribute of information available on the dashboard. </p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingTwo-flexibilities">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-flexibilities" href="#collapseTwo-flexibilities" aria-expanded="false" aria-controls="collapseTwo">
                                    Customise Dashboard
                            </a>
                      </h4>
                    </div>
                    <div id="collapseTwo-flexibilities" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingTwo-flexibilities">
                      <div class="panel-body">
                        <p>Introducing your very own dash board, which will help you discover real estate trends and test your hypothesis, structured from macro level to the micro level. The dash board has built in cross tabs, tables, charts
                          representing data points to better understand the information contained within the data. Data can be categorised in time series, quarterly, annually, product wise, construction stage wise- a varied number of permutation
                          combinations. It can also be customised to meet you requirement. It can help identify the risks and opportunities that are most important to the business and future business decision.</p>
                        <p>This analysis can be downloaded and can be used for your internal presentations and competition analysis and can be very insightful for future land acquisitions as well.</p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingThree-flexibilities">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-flexibilities" href="#collapseThree-flexibilities" aria-expanded="false" aria-controls="collapseThree">
                                Draw &amp; Analyse on Map / Polygon / Circle
                            </a>
                      </h4>
                    </div>
                    <div id="collapseThree-flexibilities" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingThree-flexibilities">
                      <div class="panel-body">
                        <p> Analytics is also facilitated by map based tools allowing you to create a polygon, a circle or search a specific micro market to analyze its dynamics, competition, projects and product performances. The map based interface
                          has been integrated with Google maps to enable you to track the footprint of projects covered. The flexibilities of the filter options allow you to refine your search based upon typology, ticket sizes, launch year,
                          construction status etc. </p>
                        <p> This analysis is also available for download and can be used for your internal presentations, media reports; investor presentation can be very insightful in pre launch stage and tracking competition of any project. </p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingFour-flexibilities">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-flexibilities" href="#collapseFoure-flexibilities" aria-expanded="false" aria-controls="collapseFour">

                                        Multiple Selection
                                
                                    </a>
                      </h4>
                    </div>
                    <div id="collapseFoure-flexibilities" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingFour-flexibilities">
                      <div class="panel-body">
                        <p>This feature is in built into the dashboard. It allows you drill down into any parameter you are analysing at the macro level into its smallest break up. Drill Down enables you to get a deep dive into the database and
                          evaluate it right from city level to project level. Further, the flat level data can be also be extracted for each project. Built on an extremely user-friendly interface, it is here to offer both broad and in-depth analysis
                          for each attribute of information available on the dashboard.</p>
                      </div>
                    </div>
                  </div>
                  <div class="panel panel-default">
                    <div class="panel-heading" role="tab" id="headingFour-flexibilities-download">
                      <h4 class="panel-title">
                        <a class="collapsed" role="button" data-toggle="collapse" data-parent="#data-flexibilities" href="#collapseFoure-flexibilities-download" aria-expanded="false" aria-controls="collapseFour">
                                        Download Formats 
                                    </a>
                      </h4>
                    </div>
                    <div id="collapseFoure-flexibilities-download" class="panel-collapse collapse" role="tabpanel" aria-labelledby="headingFour-flexibilities">
                      <div class="panel-body">
                        <p> All the analysis conducted on dashboard within any of the features is available for download in form of pdf, xls and images. These can be used for your internal presentations, media reports, investor presentation etc. with
                          due credit to Liases Foras. The maps visualizations can also can be downloaded. These are proven to be very insightful in determining the future growth directions and giving a quick spatial understanding of the market
                          especially while entering an unexplored territory. </p>
                      </div>
                    </div>
                  </div>
                </div>
                <!--Flexibilities-->
                <!--Explore The Products-->
                <!--Explore The Products-->
              </div>
            </div>
          </section>
        </div>
        <!--Ressex-->
        <!--Desktop valuation-->
        <div id="product_widget_2" class="tab-content-product pb-o">
          <section>
            <div class="container">
              <h1 class="heading-title text-uppercase">Desktop Valuation</h1>
              <p class="heading-tescription"> Desktop Valuation with comparables, is a web based valuation tool kit designed to give users the price of a property within minutes. The product is customized to meet the needs of financiers who wish to
                mitigate valuation risks by validating the values given by external agencies through our informed and trusted database. </p>
              <p> Desktop Valuation combines data from the Liases Foras’ database, secondary sources (listing websites) and registration data to arrive at accurate valuation in real time. It allows the user the flexibility to evaluate property using
              </p>
              <ul class="ressex-list">
                <li>Median price</li>
                <li>Direct comparable with selected projects</li>
                <li>Highest and lowest prices in the neighbourhood</li>
              </ul>
            </div>
          </section>
          <section class="how-it-works bg-blueGray text-white">
            <div class="container">
              <h2 class="heading-title text-uppercase">HOW IT WORKS?</h2>
              <div class="img-container">
                <img src="assets/svg/products/deskto-valuation.svg" alt="" title="">
              </div>
            </div>
          </section>
          <section class="bg-brand-color text-white">
            <div class="how-it-work-sub-container">
              <div class="container">
                <h2 class="heading-title text-uppercase text-white"> This product will help users</h2>
                <ul class="ressex-list">
                  <li> Provide cost and time efficient property valuations to make immediate lending decisions</li>
                  <li> Revalidate valuations carried out by surveyors and valuers </li>
                </ul>
              </div>
            </div>
          </section>
          <section>
            <div class="container">
              <div class="accordian-holder">
                <!-- Data Start-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
                      viewBox="0 0 10000 10000" xmlns:xlink="http://www.w3.org/1999/xlink">
                      <g>
                        <metadata id="data-pro"></metadata>
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                  </span> DATA
                </h2>
                <p> Integrated with Primary, Secondary, Registration Data across 60 cities in India. </p>
                <!-- Data Start-->
                <!--Analytics -->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                    </svg>
                  </span> ANALYTICS
                </h2>
                <p> Advance Machine Learning and mapping guide you to most appropriate comparable option for the subject site. </p>
                <p> Desktop valuation also provides AVM based on our proprietary urban price setting model. </p>
                <!--Analytics -->
                <!--Flexibilities-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                  </span> FLEXIBILITIES
                </h2>
                <p> Allows you to carry out the valuation based on comaparable property, median within the catchment as well as min and max value of the selected array. The array can be adjusted as per unit size in the catchment. </p>
                <!--Flexibilities-->
              </div>
            </div>
          </section>
          <!-- Enq Form-->
          <div class="enq-wrapper">
            <div class="container">
              <div class="enq-frm">
                <div class="form-element">
                  <select>
                    <option> Subscribe</option>
                    <option>Free demo</option>
                  </select>
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-namev" placeholder="Enter Name" required="required">
                </div>
                <div class="form-element">
                  <input type="email" name="name" id="enq-emailv" placeholder="Enter Email" required="required">
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-mobv" placeholder="Enter Contact No." required="required">
                </div>
                <div class="form-element">
                  <input type="button" value="submit" name="name" id="enq-submitv">
                </div>
                <div class="form-element">
                  <input type="button" value="Login" name="name" id="enq-loginv">
                </div>
              </div>
            </div>
            <!-- Enq Form-->
          </div>
        </div>
        <!--Desktop valuation-->
        <!--DFS-->
        <div id="product_widget_4" class="tab-content-product pb-o">
          <section>
            <div class="container">
              <h1 class="heading-title text-uppercase">Desktop Feasibility Solution</h1>
              <p class="heading-tescription"> First ever online analytical tool to assess residential project viability. DFS is an analytical interface backed by granular data captured by Liases Foras through field survey on a quarterly basis.
                Desktop Feasibility Solution (DFS) uses data driven approach to help make spatially and economically viable decisions while planning residential project. It uses real time data and real estate trends in the catchment area for quick
                decision making in just six easy steps. </p>
              <p> The interactive analysis helps you answer: </p>
              <ul class="ressex-list">
                <li>How can you increase the market share and sales velocity for your project?</li>
                <li>How will changes in price (premium or discount) and product mix impact sales velocity and finances? </li>
              </ul>
            </div>
          </section>
          <section class="how-it-works bg-blueGray text-white">
            <div class="container">
              <h2 class="heading-title text-uppercase">HOW IT WORKS?</h2>
              <div class="img-container">
                <img src="assets/svg/products/dfs.svg" alt="" title="">
              </div>
            </div>
          </section>
          <section>
            <div class="container">
              <div class="accordian-holder">
                <!-- Data Start-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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82,-46 163,-97 239,-152z">
                        </path>
                      </g>
                    </svg>
                  </span> DATA
                </h2>
                <p> DFS is based on primary quarterly data. </p>
                <!-- Data Start-->
                <!--Analytics -->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                        <metadata></metadata>
                        <path fill="#ED4658"
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                    </svg>
                  </span> ANALYTICS
                </h2>
                <p> A hedonic model for price discovery, advance algorithm funneling down nine levels to recommend efficient product mix, market share. A three-dimensional decision matrix integrates market dynamics and site alongside financial
                  implication, on a single platform. </p>
                <!--Analytics -->
                <!--Flexibilities-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                    </svg>
                  </span> FLEXIBILITIES
                </h2>
                <p> Define and draw the catchment, select and deselect the projects within the catchment, define the quality parameters of product and neighbourhood settings to discover price, cost, interest and key input changes of a project. </p>
                <!--Flexibilities-->
              </div>
            </div>
          </section>
          <!-- Enq Form-->
          <div class="enq-wrapper">
            <div class="container">
              <div class="enq-frm">
                <div class="form-element">
                  <select>
                    <option> Subscribe</option>
                    <option>Free demo</option>
                  </select>
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-namedfs" placeholder="Enter Name" required="required">
                </div>
                <div class="form-element">
                  <input type="email" name="name" id="enq-emaildfs" placeholder="Enter Email" required="required">
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-mobdfs" placeholder="Enter Contact No." required="required">
                </div>
                <div class="form-element">
                  <input type="button" value="submit" name="name" id="enq-submitdfs">
                </div>
                <div class="form-element">
                  <input type="button" value="Login" name="name" id="enq-logindfs">
                </div>
              </div>
            </div>
          </div>
          <!-- Enq Form-->
        </div>
        <!--DFS-->
        <!--CRYSTAL-->
        <div id="product_widget_5" class="tab-content-product pb-o">
          <section>
            <div class="container">
              <h1 class="heading-title text-uppercase">crystal</h1>
              <p class="heading-tescription"> Crystal is a valuation workflow system designed to streamline the interaction between lenders, valuators, and surveyors through automation and mobile devices. The product is customisable as per the
                reporting standards of individual lenders. This product is built for: </p>
              <ul class="ressex-list">
                <li>HFC</li>
                <li>Banks</li>
                <li>Property Valuators</li>
              </ul>
              <p>In order to revalidate the data and identify outliers, Crystal has been integrated with:</p>
              <ul class="ressex-list">
                <li>‘Ressex’ – The complete Liases Foras primary database on real estate that provides micro market demand supply and risk matrix </li>
                <li>‘Property Science’ – A proprietary Liases Foras product that provides automated valuation (AVM) </li>
                <li>‘Comparables’ – Product that provides valuation comparable </li>
                <li>Data on property registration </li>
                <li>Data from secondary portals</li>
              </ul>
            </div>
          </section>
          <section class="how-it-works bg-blueGray text-white">
            <div class="container">
              <h2 class="heading-title text-uppercase">HOW IT WORKS?</h2>
              <div class="img-container">
                <img src="assets/svg/products/crystal.svg" alt="" title="">
              </div>
            </div>
          </section>
          <section class="bg-brand-color text-white">
            <div class="how-it-work-sub-container">
              <div class="container">
                <h2 class="heading-title text-uppercase">The tool allows users to </h2>
                <ul class="ressex-list">
                  <li>Ensure high quality valuations through structured collection and revalidation tools </li>
                  <li>Track and monitor status of application at every stage of valuation - from site data collection to final data presentation</li>
                  <li>Convert the individual reports into a standardized and structured database of valuation for future analysis </li>
                  <li>Work with other compatible Liases Foras plugins (Desktop Valuation, Ressex, Property Science AVM) for portfolio level opportunity and risk analysis</li>
                  <li>Revalidate valuations carried out by surveyors and valuators</li>
                </ul>
              </div>
            </div>
          </section>
          <section>
            <div class="container">
              <div class="accordian-holder">
                <!-- Data Start-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                      </g>
                    </svg>
                  </span> DATA
                </h2>
                <p>Integrated with Primary, Secondary, Registration Data across 60 cities in India.</p>
                <!-- Data Start-->
                <!--Analytics -->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
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                        <metadata></metadata>
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                      </g>
                    </svg>
                  </span> ANALYTICS
                </h2>
                <p> Advance Machine Learning and mapping guide you to most appropriate comparable option for the subject site. </p>
                <p> Desktop valuation also provides AVM based on our proprietary urban price setting model . </p>
                <!--Analytics -->
                <!--Flexibilities-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
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                  </span> FLEXIBILITIES
                </h2>
                <p> Allows you to carry out the valuation based on comaparable property, median within the catchment or min and max value of the selected array. The array can be adjusted as per unit size in the catchment. </p>
                <!--Flexibilities-->
              </div>
            </div>
          </section>
          <!-- Enq Form-->
          <div class="enq-wrapper">
            <div class="container">
              <div class="enq-frm">
                <div class="form-element">
                  <select>
                    <option> Subscribe</option>
                    <option>Free demo</option>
                  </select>
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-namecrystal" placeholder="Enter Name" required="required">
                </div>
                <div class="form-element">
                  <input type="email" name="name" id="enq-emailcrystal" placeholder="Enter Email" required="required">
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-mobcrystal" placeholder="Enter Contact No." required="required">
                </div>
                <div class="form-element">
                  <input type="button" value="submit" name="name" id="enq-submitcrystal">
                </div>
                <div class="form-element">
                  <input type="button" value="Login" name="name" id="enq-logincrystal">
                </div>
              </div>
            </div>
            <!-- Enq Form-->
          </div>
        </div>
        <!--CRYSTAL-->
        <!--Developer Rating-->
        <div id="product_widget_6" class="tab-content-product pb-o current">
          <section>
            <div class="container">
              <h1 class="heading-title text-uppercase">Developers rating</h1>
              <p class="heading-tescription"> This product uses extensive data and analysis of on-ground performance of more than 10,000 developers across 60 cities in India to help users manage lending risks. </p>
              <div class="rating-pointers-container clearfix">
                <div class="rating-pointers">
                  <p class="rating-pointers-head">
                    <b>The tool allows users to assess if a developer </b>
                  </p>
                  <ul class="ressex-list">
                    <li>Can meet his/her construction commitment based on current construction velocity</li>
                    <li>Can generate funds from sales to meet the base construction cost </li>
                    <li>Has current sales good enough for future cash flows </li>
                    <li>Risks defaulting on payments or delaying his project</li>
                  </ul>
                </div>
                <div class="rating-pointers">
                  <p class="rating-pointers-head">
                    <b>The tool allows users to assess if a lenders and financiers</b>
                  </p>
                  <ul class="ressex-list">
                    <li>Assess credit worthiness of a developer/project especially those being lent money for the first time </li>
                    <li>Identify the investment opportunity among developers/projects, based on customized guidelines and priorities </li>
                    <li>Monitor developers/projects on a quarterly basis </li>
                    <li>Carry out differential treatment of developers on the basis of the default risk they pose </li>
                  </ul>
                </div>
              </div>
            </div>
          </section>
          <section class="bg-blueGray text-white">
            <div class="how-it-works mb-o">
              <div class="container">
                <h2 class="heading-title text-uppercase">HOW IT WORKS?</h2>
                <p class="heading-tescription"> The rating benchmarks past performance of developers against their future expected performance. This helps gauge whether the developer can meet his/her future expected performance, or is likely to
                  default. As financial information of developers is hard to procure, the model uses the next best alternative that is on-ground performance to determine results. </p>
                <div class="img-container">
                  <img src="assets/svg/products/developers-rating.svg" alt="" title="">
                </div>
              </div>
            </div>
          </section>
          <section class="bg-brand-color text-white">
            <div class="how-it-work-sub-container">
              <div class="container">
                <h2 class="heading-title text-uppercase">Developer performance is mapped against the following parameters </h2>
                <p class="sub-head-work"> These four parameters determine the probability of default on the execution side. Higher the score achieved, lower is the probability of default.</p>
                <div class="box-paratmeter-container">
                  <div class="box-parameter">
                    <div>
                      <p class="box-parameter-work">Construction Velocity</p> Whether at the current pace of construction, a developer can meet the set delivery deadlines. If not, then by what multiple does he need to increase his construction pace
                    </div>
                  </div>
                  <div class="box-parameter">
                    <p class="box-parameter-work">Delays </p> How much is the delay in the existing projects?
                  </div>
                  <div class="box-parameter">
                    <p class="box-parameter-work"> Sales Velocity </p> Is sale volume good enough? Has the developer sold nearly 2.75% of the stock on a monthly basis in the last 12 months?
                  </div>
                  <div class="box-parameter">
                    <p class="box-parameter-work"> Cash Condition </p> Whether the cash generated from average monthly sales receipts of the last 12 months good enough to meet the next month’s construction expenses. If yes, by how much do receipts
                    exceed the expense; and if no, what is the percentage of shortfall?
                  </div>
                </div>
              </div>
            </div>
          </section>
          <section>
            <div class="container">
              <div class="accordian-holder">
                <!-- Data Start-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
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-2,-1 -2,-1 0,0 -1,-2 -1,-2 -1,-1 -2,-3 -4,-5 -1,-2 -2,-3 -3,-6 0,0 0,0 0,0 0,0 0,-1 -2,-1 -3,-6 -7,-11 -11,-17 -9,-13 -16,-25 -24,-39 -3,-6 -7,-13 -11,-20 -1,-2 -2,-4 -4,-6 -1,-4 -3,-6 -5,-10 0,0 0,-1 -1,-1 -5,-9 -10,-19 -13,-28 -2,-1 0,-2 -2,-4 0,0 0,-1 0,-1l0 0c0,0 0,0 0,0 0,0 0,0 -1,0 0,0 0,0 0,0 -1,-2 -2,-6 -2,-9 0,0 0,0 0,0 -5,-12 -9,-23 -13,-36 0,-1 0,-2 -1,-3 -3,-8 -5,-17 -8,-24 0,-1 -1,-4 -1,-5 0,-1 0,-1 0,-3 0,-1 0,-1 0,-2 0,-1 0,-1 -1,-3 -3,-11 -5,-21 -6,-32 0,-2 0,-4 0,-6 0,-8 -2,-15 -2,-21l0 -1542c58,46 119,90 180,131 61,41 123,79 187,115 58,33 126,77 195,101 2,0 3,1 4,1 21,10 42,20 65,30 10,4 20,9 28,12 17,8 33,14 49,22 11,5 23,10 34,14 410,175 842,296 1278,385 294,60 591,108 890,143 33,3 66,7 99,11 2,0 2,0 3,0 11,1 21,2 31,3 90,9 178,18 267,25 84,8 169,14 254,19 1,0 2,0 2,0 12,1 22,1 33,3 122,7 245,12 367,16 679,20 1357,-14 2031,-106 3,0 4,0 6,-1 211,-30 419,-66 627,-109 441,-89 875,-214 1290,-390 113,-48 230,-102 344,-164 2,-1 3,-3 6,-4 7,-5 16,-9 24,-14 0,0 0,0 0,0 82,-46 163,-97 239,-152z">
                        </path>
                      </g>
                    </svg>
                  </span> DATA
                </h2>
                <p> Developers Rating is based on primary quarterly data. </p>
                <!-- Data Start-->
                <!--Analytics -->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
                    <svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" version="1.1" shape-rendering="geometricPrecision" text-rendering="geometricPrecision" image-rendering="optimizeQuality" fill-rule="evenodd" clip-rule="evenodd"
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                        <metadata></metadata>
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                          d="M4538 4174l0 5628c0,109 -89,197 -197,197l-1374 0c-108,0 -197,-88 -197,-197l0 -5628c0,-108 89,-197 197,-197l1374 0c108,0 197,89 197,197zm-2694 2504l0 3125c0,109 -87,197 -197,197l-1370 0c-110,0 -197,-88 -197,-197l0 -3125c0,-108 87,-196 197,-196l1370 0c110,0 197,88 197,196zm8076 -4325l0 7450c0,109 -89,197 -197,197l-1372 0c-108,0 -197,-88 -197,-197l0 -7450c0,-108 89,-197 197,-197l1372 0c108,0 197,89 197,197zm-2692 2870l0 4579c0,109 -87,197 -197,197l-1374 0c-108,0 -197,-88 -197,-197l0 -4579c0,-108 89,-197 197,-197l1374 0c110,0 197,89 197,197zm2242 -4595c0,343 -281,628 -628,628 -128,0 -254,-40 -356,-115l-1843 1329c17,55 26,107 26,164 0,347 -283,628 -628,628 -331,0 -601,-253 -624,-578l-1571 -452c-115,163 -303,266 -513,266 -87,0 -171,-19 -251,-53l-1769 1979c52,92 80,195 80,301 0,350 -283,628 -628,628 -348,0 -628,-278 -628,-628 0,-343 280,-628 628,-628 81,0 163,17 236,50l1776 -1988c-46,-88 -72,-185 -72,-289 0,-346 283,-626 628,-626 333,0 606,259 626,588l1562 446c113,-166 306,-272 520,-272 131,0 259,42 364,119l1836 -1323c-19,-57 -27,-115 -27,-174 0,-347 282,-628 628,-628 205,0 395,96 513,262 75,104 115,232 115,366z">
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                    </svg>
                  </span> ANALYTICS
                </h2>
                <p> Data driven model is based on the performance of projects aggregated according to performance of developers. Besides, habitability index and quality of location have also been factored in for assessment. </p>
                <!--Analytics -->
                <!--Flexibilities-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                  </span> FLEXIBILITIES
                </h2>
                <p> Developers Rating module categorises developers as per magnitude of supply and class of city/ies where they are undertaking projects. Developers can also be segregated as per their prominence in specific asset class such as
                  apartment (luxury or affordable), plots or villas. </p>
                <!--Flexibilities-->
              </div>
            </div>
          </section>
          <!-- Enq Form-->
          <div class="enq-wrapper">
            <div class="container">
              <div class="enq-frm">
                <div class="form-element">
                  <select>
                    <option> Subscribe</option>
                    <option>Free demo</option>
                  </select>
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-namedevelopers-rating-" placeholder="Enter Name" required="required">
                </div>
                <div class="form-element">
                  <input type="email" name="name" id="enq-emaildevelopers-rating-" placeholder="Enter Email" required="required">
                </div>
                <div class="form-element">
                  <input type="text" name="name" id="enq-mobdevelopers-rating-" placeholder="Enter Contact No." required="required">
                </div>
                <div class="form-element">
                  <input type="button" value="submit" name="name" id="enq-submitdevelopers-rating-">
                </div>
                <div class="form-element">
                  <input type="button" value="Login" name="name" id="enq-logindevelopers-rating-">
                </div>
              </div>
            </div>
            <!-- Enq Form-->
          </div>
        </div>
        <!--Deeveloper Rating-->
        <!--OPP-->
        <div id="product_widget_7" class="tab-content-product pb-o">
          <section>
            <div class="container">
              <h1 class="heading-title text-uppercase">Opportunity Identification For Home Loans (opps)</h1>
              <p class="heading-tescription"> OPPS is a data driven analytics tool to help banks, HFCs and financiers identify the potential opportunity and underlying risks while giving out home loans. </p>
              <ul class="ressex-list">
                <li>To find out performing markets </li>
                <li>How is the market distribution </li>
                <li>Bank’s penetration in the market</li>
                <li>Build strategy to capture market </li>
                <li>Allocate resources to capture markets efficiently </li>
                <li>Monitor the construction process</li>
                <li>Identify emerging opportunities </li>
                <li>Gauge risk </li>
              </ul>
            </div>
          </section>
          <section class="bg-blueGray text-white">
            <div class="how-it-works">
              <div class="container">
                <h2 class="heading-title text-uppercase">HOW IT WORKS?</h2>
                <div class="img-container">
                  <img src="assets/svg/products/opps.svg" alt="" title="">
                </div>
              </div>
            </div>
          </section>
          <section>
            <div class="container">
              <div class="accordian-holder">
                <!-- Data Start-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                  </span> DATA
                </h2>
                <p> Based on primary quarterly updated data by Liases Foras. </p>
                <!-- Data Start-->
                <!--Analytics -->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                    </svg>
                  </span> ANALYTICS
                </h2>
                <p> Includes rating of project on their marketability and technical soundness, along with the rating of their developers and locations. </p>
                <!--Analytics -->
                <!--Flexibilities-->
                <h2 class="heading-title text-uppercase">
                  <span class="product-ico">
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                      viewBox="0 0 10000 10000" xmlns:xlink="http://www.w3.org/1999/xlink">
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                    </svg>
                  </span> FLEXIBILITIES
                </h2>
                <p> Flexibilities to choose from large to small region/mirco markets, specific segment of product based on type or construction stage. Project of a specific time of launch or possession date, there are all type of filters. </p>
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PRODUCTS

We synthesize real estate data to provide your business the insight it needs

RESSEX



DESKTOP VALUATION



Desktop Feasibility Solution (DFS)



CRYSTAL



DEVELOPERS RATING



OPPS



Real Estate Market Reports


RESSEX (REAL ESTATE SENSITIVITY INDEX)

RESSEX™ is a complete online interface that allows organized and structured
access to our geospatial real estate database. Ressex fulfills the requirement
for instant and real time information on property trends and analysis for over
130 census towns in the country.

Liases Foras has been collecting accurate and unbiased data on real estate
production, sales and pricing since 2000. Ressex gives users access to this rich
data and allows the users to analyze historic and geographical trends in:

 * Pricing
 * Housing production and sales
 * Sales velocity
 * Months inventory
 * Construction progress
 * Efficient product types
 * Emerging and declining markets
 * Successful and unsuccessful developers

As the database is huge, Ressex has been divided into four categories:

 * Dashboard for lenders/bankers
 * Dashboard for developers/builders
 * Dashboard for macro housing trend seekers
 * Dashboard for building material suppliers

Lenders
Developers
MACRO RESSEX
Suppliers


CUSTOMISED DASHBOARD FOR LENDER/BANKER

Created for decision-makers, bankers can go through the overall distribution in
the market, find out which city seems to be doing better than the others and
which locations/micro-markets within the city have more demand than the
remaining ones. Decision-maker can also check projects where higher sales have
been recorded and also find out performance of builders. With help of multitude
of interactive filters, decision-maker will be able to sort out top builders and
would also have the option to export the file on local machine for reference.
Besides all kinds of analysis can be done at overall city/region level and can
be layered down to suburbs/micro-market/location/PIN code. So for instance,
Ressex would not only tell you where maximum sales were noted, but it will also
show which project or builder attracted most number of buyers. Bankers can use
the product to:

 * To find out performing markets
 * Analyse market distribution
 * Understand the banking penetration in the market
 * Build strategy to capture market
 * Design lending products to meet the needs of particular markets
 * Allocate resources to capture markets efficiently
 * Identify emerging opportunities
 * Gauge risk 

Lender needs overall distribution in the market; the top management wants to
view how market is distributed across geography, builders, project  Ressex gives
tree map and map based analytics  It is divided into five layers/categories,
from all cities one can go down to MMR, NCR among others and after selection can
further break the dashboard into micro markets, check the performance of
builders, value of stock sold. It will show who are the largest builder and the
smallest builder  Lenders can create tailor made campaigns and also build
relationship with right target audience

Key features

 * Find which are the top builders, top locations, top new launches 
 * Lenders can know where exactly untapped opportunities are placed 
 * Get catchment dynamics with quarterly and annual trends
 * Get market penetration
 * Lenders can share APF (approved project finance) list to know the share they
   have in the universe 
 * A lender will be able to see how many projects are being supported by them
   out of the total universe 
 * Lender can also check price trends 


CUSTOMISED DASHBOARD FOR DEVELOPERS/BUILDERS

Specifically tailored to meet the individual needs developers will be able to
gauge health of realty sector through the map-based dashboard quickly and
effectively at macro level and within a chosen catchment where his/her project
is located.

Designed to throw up market indicators such as demand and supply, best product,
ticket size, flat size, price range, price trends among others, the product
offers drill-down feature from region level and suburb level up to catchment and
project level.

Developer will also have the flexibility to define the catchment or micro-market
by drawing a polygon or a circle. Subsequently dashboard will produce geo-tagged
projects within the catchment on the map which can be further explored.

Besides developers can also select and analyse multiple locations as per geo
spatial layers of municipal boundaries (municipal wards) and PIN codes (postal
information number) as well.

Developers can check performance of housing projects undertaken by competitors,
go through distribution of supply in different price brackets vis-a-vis
construction stage of a project, possession timeline and also do spatial
proximity analysis through the dashboard. Performance of an individual builder
with regard to estimates on quarterly stock sold and receipts generated through
sales can also be viewed.

Data can be sliced and diced to find out performance attributes of a certain
segment such as affordable, budget, high-end or ultra luxury or according to
product type such as 1BHK, 2BHK, 3BHK or in different price bands.

Developers can use the dashboard to

 * Find emerging markets
 * Evaluate land purchase decision
 * Carry out consumer profiling in certain catchment
 * Observe macro/micro trends for demand, supply, vacancy among others
 * Assess optimum product mix, type and pricing
 * Carry out competition analysis
 * Develop project launch, marketing and exit strategies
 * Gauge risk 
 * Prepare investor report

Unique features offered

 * Drill down approach from macro to micro to project level
 * Option to draw multiple catchments with different distance ranges
 * Proximity analysis to nearest landmark of competing projects
 * Construction progress of competing projects and possession timeline
 * Estimated performance of builders


DASHBOARD FOR MACRO RESSEX USERS

The dashboard serves the needs for holistic data seekers as it offers macro
trends in housing market at national, regional and suburb level. Institutions,
government agencies, universities, research institutes, PhD scholars and
individuals interested in housing sector can back their works with the help of
empirical data collected since 2003 just when Indian government opened doors of
realty sector for foreign investors.

Data collected by Liases Foras empowers RESIDEX and Housing Price Index, the two
indices used by Reserve Bank of India and National Housing Bank to gauge the
health of the Indian real estate market.

Data seekers can use dashboard for

 * Urban planning
 * Strengthening thesis statement
 * Preparing research projects
 * In sharpening policy framework
 * Formulation of solution to address housing shortage
 * Carry out competition analysis
 * Develop project launch, marketing and exit strategies
 * Gauge risk 
 * Prepare investor report

Unique features offered

 * Demand and supply trends
 * Sold and unsold inventory
 * Price trends
 * Total units sold annually and quarterly
 * Total sqft consumed annually and quarterly
 * Value of stock sold annually and quarterly


RESSEX FOR BUILDING MATERIAL SUPPLIER

Dashboard for building material players has been designed to help identify
business opportunity for building material companies and large suppliers. It
offers quarterly data collated across 60 cities and provide new launches, large
developers and better performing markets. Companies can also track health and
performance of developers/builders for due diligence.

Building material players such as cement companies, elevator companies, earth
moving manufacturers, electrical, sanitary and hardware companies can easily
identify unexplored territories.

For better targeting and marketing opportunities dashboard offers flexibility to
choose projects as per construction stage such as excavation, foundation,
commissioning or finishing. As ticket size and price range of apartment units
are also mentioned, players would be able to identify target group.

Apart from project level report, the dashboard will also provide consolidated
report of developers in a certain market. Our developers’ rating module also
helps the supplier to identify the health of the developers.

Building material players can use dashboard for

 * Sharpening business plan and due diligence
 * Identify right target group and opportunities
 * Finding right market segment
 * Gauge market risk and builders under stress

Features offered

 * List of projects as per construction stage
 * Price range and size of units for right profiling of potential customers
 * Performance of builders as per value of stock sold


HOW IT WORKS?

Ressex allows you to flip between various scales of real estate data with
agility. It offers data and analysis from the macro level right down to the
individual project level, complete with interactive graphical representations.
The data and analysis can be viewed on an interactive and user-friendly
dashboard and downloaded as CSV, PDF, GIS shapefiles, or images.




DATA

GEOGRAPHICAL COVERAGE AND SCALE

Information can be accessed at both macro (country, state, city, town) and micro
level (micro market, ward, block, project and unit). Following cities are
covered under Ressex:

 * National Capital Region (NCR or Delhi region)
 * Mumbai Metropolitan Region (MMR)
 * Outer MMR
 * Pune
 * Outer Pune
 * Hyderabad
 * Outer Hyderabad
 * Nagpur
 * Lonavala
 * Bengaluru
 * Outer Bengaluru
 * Chennai
 * Kolkata
 * Ahmedabad
 * Aurangabad
 * Kolhapur
 * Nashik
 * Solapur
 * Goa
 * Indore
 * Chandigarh
 * Jaipur
 * Surat
 * Vadodara
 * Cochin
 * Kanpur
 * Lucknow
 * Thiruvananthapuram
 * Coimbatore
 * Mangalore
 * Raipur
 * Patna
 * Bhopal
 * Bhubaneswar
 * Jodhpur
 * Neemrana
 * Rajkot
 * Kota
 * Srinagar
 * Shirdi
 * Tirupur
 * Vizag
 * Karnal
 * Dehradun
 * Ludhiana
 * Guwahati
 * Vijayawada
 * Meerut
 * Alwar
 * Tiruchirappalli
 * Daman
 * Vapi
 * Pondicherry
 * Silvassa
 * Agartala
 * Shimla
 * Dhanbad
 * Ranchi
 * Jamshedpur
 * Sangli

PRIMARY (DEVELOPERS) PROPERTIES DATA ATTRIBUTES


RESIDENTIAL


 * City Type
 * City
 * Suburb
 * Location
 * Area
 * Road
 * Developer Group
 * Developer
 * Project
 * Sub Project

 * Product Types
 * Qtr of Financial Year
 * Month & Year of Launch
 * Month & Year of Possession
 * Latitude & Longitude
 * Distance from CBD
 * Launched Price in PSF
 * Current Price in PSF
 * Base Cost of Unit
 * Months Inventory

 * Sales Velocity
 * Avg Unit Size
 * Carpet Area in Sqft
 * Saleable Area in Sqft
 * Super Built to Carpet Ratio
 * Sale During the Qtr
 * Sold in last 12 months
 * Gross Sold Till Qtr End
 * Unsold as on Qtr end
 * Gross Supply since inception

 * Supply Added During Current Qtr
 * Supply During the Qtr
 * Value of Stock Sold
 * Value of Stock Unsold
 * Efficiency Ratio
 * Construction Status
 * Construction Stages
 * Amenities
 * Updated Construction Photographs





COMMERCIAL


 * State
 * City Type
 * City
 * Suburb
 * Location
 * Area
 * Road
 * Developer Group
 * Value of Stock Unsold

 * Developer
 * Project
 * Sub Project
 * Type
 * Qtr of Financial Year
 * Month & Year of Launch
 * Month & Year of Launch
 * Latitude
 * Construction Status

 * Longitude
 * Parking Charges
 * Lock In Period
 * Maintenance
 * Loading
 * Out Right Rate
 * Lease Rate
 * Distance From CBD
 * Slab

 * Gross Sold Till Qtr End
 * Unsold as on Qtr End
 * Unsold as on Qtr End
 * Gross Supply Since Inception
 * Sale During the Qtr
 * Sales in last 12 months
 * Supply During the quarter
 * Supply added During Current qtr





RETAIL


 * Project name
 * Developer name
 * Sub-project details
 * Launch date

 * Average unit size
 * Occupancy Status (based on first lease)
 * Saleable to Carpet ratios

 * Price Sheet
 * Possession date
 * Construction stage
 * Lease and outright rates

 * Car parking
 * Maintenance
 * Lock-in period

SECONDARY (RESALE) PROPERTIES DATA ATTRIBUTES


DATA POINTS COVERED


 * Property Name
 * Developer Name
 * Property Type
 * Property size

 * Amenities
 * No. of rooms
 * Types of rooms

 * Property Location
 * Longitude
 * Latitude

 * Average size of rooms
 * Property Rent
 * Location Trends

REGISTRATION PROPERTIES DATA ATTRIBUTES


DATA POINTS COVERED


 * Property Name
 * Developer Name
 * Property Type
 * Property size

 * Amenities
 * No. of rooms
 * Types of rooms

 * Property Location
 * Longitude
 * Latitude

 * Average size of rooms
 * Property Rent
 * Location Trends

RENTAL DATA ATTRIBUTES


DATA POINTS COVERED


 * Property Name
 * Developer Name
 * Property Type
 * Property size

 * Amenities
 * No. of rooms
 * Types of rooms

 * Property Location
 * Longitude
 * Latitude

 * Average size of rooms
 * Property Rent
 * Location Trends


ANALYTICS

TRENDS

Every vector defines its own price and value. The dashboard manifests the trend
of demand, supply, price, month’s inventory with relation to its vector
positioning. Glimpse through the behaviour of the market and read the analysis
hidden behind the spatial polarizations by studying the impact of distance from
CBD and it’s co-relation to the product performance.

SPATIAL ANALYTICS

Every vector defines its own price and value. The dashboard manifests the trend
of demand, supply, price, month’s inventory with relation to its vector
positioning. Glimpse through the behaviour of the market and read the analysis
hidden behind the spatial polarizations by studying the impact of distance from
CBD and it’s co-relation to the product performance.

MAPS & MATRIX

Map Visualization is fantastic feature on the dash board, which will help you
visualize the spatial distribution of the data across different cities. The map
visualization tool can be used to represent the data at the suburb level and the
area level in different parameters like, sales, supply, price, cost of
apartment, wt. average price, month’s inventory etc which can be selected and
filtered as per your requirement. The spatial analysis is useful while
researching the heterogeneity or homogeneity of the real estate market, it’s
growth direction and helps understand the numerical data in a different
dimension.

These maps can be downloaded and can be used for your internal presentations,
media reports; investor presentation can be very insightful in determining the
future growth directions.

PERFORMANCE PARAMETER

Identify your investment opportunities and risks with a thorough understanding
of developer and project performance. Get detailed report cards of the selected
developer and projects with important facts such as magnitude of supply,
geographical spread, business turnover, absorption status, construction status,
flat cost, sales velocity, month’s inventory, etc. This can help assess
performance of developers and competition projects which can be of aid during
internal strategy meetings and investor communication.


FLEXIBILITIES

DRILL DOWN

This feature is in built into the dashboard. It allows you drill down into any
parameter you are analysing at the macro level into its smallest break up. Drill
Down enables you to get a deep dive into the database and evaluate it right from
city level to project level. Further, the flat level data can be also be
extracted for each project. Built on an extremely user-friendly interface, it is
here to offer both broad and in-depth analysis for each attribute of information
available on the dashboard.

CUSTOMISE DASHBOARD

Introducing your very own dash board, which will help you discover real estate
trends and test your hypothesis, structured from macro level to the micro level.
The dash board has built in cross tabs, tables, charts representing data points
to better understand the information contained within the data. Data can be
categorised in time series, quarterly, annually, product wise, construction
stage wise- a varied number of permutation combinations. It can also be
customised to meet you requirement. It can help identify the risks and
opportunities that are most important to the business and future business
decision.

This analysis can be downloaded and can be used for your internal presentations
and competition analysis and can be very insightful for future land acquisitions
as well.

DRAW & ANALYSE ON MAP / POLYGON / CIRCLE

Analytics is also facilitated by map based tools allowing you to create a
polygon, a circle or search a specific micro market to analyze its dynamics,
competition, projects and product performances. The map based interface has been
integrated with Google maps to enable you to track the footprint of projects
covered. The flexibilities of the filter options allow you to refine your search
based upon typology, ticket sizes, launch year, construction status etc.

This analysis is also available for download and can be used for your internal
presentations, media reports; investor presentation can be very insightful in
pre launch stage and tracking competition of any project.

MULTIPLE SELECTION

This feature is in built into the dashboard. It allows you drill down into any
parameter you are analysing at the macro level into its smallest break up. Drill
Down enables you to get a deep dive into the database and evaluate it right from
city level to project level. Further, the flat level data can be also be
extracted for each project. Built on an extremely user-friendly interface, it is
here to offer both broad and in-depth analysis for each attribute of information
available on the dashboard.

DOWNLOAD FORMATS

All the analysis conducted on dashboard within any of the features is available
for download in form of pdf, xls and images. These can be used for your internal
presentations, media reports, investor presentation etc. with due credit to
Liases Foras. The maps visualizations can also can be downloaded. These are
proven to be very insightful in determining the future growth directions and
giving a quick spatial understanding of the market especially while entering an
unexplored territory.


DESKTOP VALUATION

Desktop Valuation with comparables, is a web based valuation tool kit designed
to give users the price of a property within minutes. The product is customized
to meet the needs of financiers who wish to mitigate valuation risks by
validating the values given by external agencies through our informed and
trusted database.

Desktop Valuation combines data from the Liases Foras’ database, secondary
sources (listing websites) and registration data to arrive at accurate valuation
in real time. It allows the user the flexibility to evaluate property using

 * Median price
 * Direct comparable with selected projects
 * Highest and lowest prices in the neighbourhood


HOW IT WORKS?




THIS PRODUCT WILL HELP USERS

 * Provide cost and time efficient property valuations to make immediate lending
   decisions
 * Revalidate valuations carried out by surveyors and valuers


DATA

Integrated with Primary, Secondary, Registration Data across 60 cities in India.


ANALYTICS

Advance Machine Learning and mapping guide you to most appropriate comparable
option for the subject site.

Desktop valuation also provides AVM based on our proprietary urban price setting
model.


FLEXIBILITIES

Allows you to carry out the valuation based on comaparable property, median
within the catchment as well as min and max value of the selected array. The
array can be adjusted as per unit size in the catchment.

Subscribe Free demo







DESKTOP FEASIBILITY SOLUTION

First ever online analytical tool to assess residential project viability. DFS
is an analytical interface backed by granular data captured by Liases Foras
through field survey on a quarterly basis. Desktop Feasibility Solution (DFS)
uses data driven approach to help make spatially and economically viable
decisions while planning residential project. It uses real time data and real
estate trends in the catchment area for quick decision making in just six easy
steps.

The interactive analysis helps you answer:

 * How can you increase the market share and sales velocity for your project?
 * How will changes in price (premium or discount) and product mix impact sales
   velocity and finances?


HOW IT WORKS?




DATA

DFS is based on primary quarterly data.


ANALYTICS

A hedonic model for price discovery, advance algorithm funneling down nine
levels to recommend efficient product mix, market share. A three-dimensional
decision matrix integrates market dynamics and site alongside financial
implication, on a single platform.


FLEXIBILITIES

Define and draw the catchment, select and deselect the projects within the
catchment, define the quality parameters of product and neighbourhood settings
to discover price, cost, interest and key input changes of a project.

Subscribe Free demo







CRYSTAL

Crystal is a valuation workflow system designed to streamline the interaction
between lenders, valuators, and surveyors through automation and mobile devices.
The product is customisable as per the reporting standards of individual
lenders. This product is built for:

 * HFC
 * Banks
 * Property Valuators

In order to revalidate the data and identify outliers, Crystal has been
integrated with:

 * ‘Ressex’ – The complete Liases Foras primary database on real estate that
   provides micro market demand supply and risk matrix
 * ‘Property Science’ – A proprietary Liases Foras product that provides
   automated valuation (AVM)
 * ‘Comparables’ – Product that provides valuation comparable
 * Data on property registration
 * Data from secondary portals


HOW IT WORKS?




THE TOOL ALLOWS USERS TO

 * Ensure high quality valuations through structured collection and revalidation
   tools
 * Track and monitor status of application at every stage of valuation - from
   site data collection to final data presentation
 * Convert the individual reports into a standardized and structured database of
   valuation for future analysis
 * Work with other compatible Liases Foras plugins (Desktop Valuation, Ressex,
   Property Science AVM) for portfolio level opportunity and risk analysis
 * Revalidate valuations carried out by surveyors and valuators


DATA

Integrated with Primary, Secondary, Registration Data across 60 cities in India.


ANALYTICS

Advance Machine Learning and mapping guide you to most appropriate comparable
option for the subject site.

Desktop valuation also provides AVM based on our proprietary urban price setting
model .


FLEXIBILITIES

Allows you to carry out the valuation based on comaparable property, median
within the catchment or min and max value of the selected array. The array can
be adjusted as per unit size in the catchment.

Subscribe Free demo







DEVELOPERS RATING

This product uses extensive data and analysis of on-ground performance of more
than 10,000 developers across 60 cities in India to help users manage lending
risks.

The tool allows users to assess if a developer

 * Can meet his/her construction commitment based on current construction
   velocity
 * Can generate funds from sales to meet the base construction cost
 * Has current sales good enough for future cash flows
 * Risks defaulting on payments or delaying his project

The tool allows users to assess if a lenders and financiers

 * Assess credit worthiness of a developer/project especially those being lent
   money for the first time
 * Identify the investment opportunity among developers/projects, based on
   customized guidelines and priorities
 * Monitor developers/projects on a quarterly basis
 * Carry out differential treatment of developers on the basis of the default
   risk they pose


HOW IT WORKS?

The rating benchmarks past performance of developers against their future
expected performance. This helps gauge whether the developer can meet his/her
future expected performance, or is likely to default. As financial information
of developers is hard to procure, the model uses the next best alternative that
is on-ground performance to determine results.




DEVELOPER PERFORMANCE IS MAPPED AGAINST THE FOLLOWING PARAMETERS

These four parameters determine the probability of default on the execution
side. Higher the score achieved, lower is the probability of default.

Construction Velocity

Whether at the current pace of construction, a developer can meet the set
delivery deadlines. If not, then by what multiple does he need to increase his
construction pace

Delays

How much is the delay in the existing projects?

Sales Velocity

Is sale volume good enough? Has the developer sold nearly 2.75% of the stock on
a monthly basis in the last 12 months?

Cash Condition

Whether the cash generated from average monthly sales receipts of the last 12
months good enough to meet the next month’s construction expenses. If yes, by
how much do receipts exceed the expense; and if no, what is the percentage of
shortfall?


DATA

Developers Rating is based on primary quarterly data.


ANALYTICS

Data driven model is based on the performance of projects aggregated according
to performance of developers. Besides, habitability index and quality of
location have also been factored in for assessment.


FLEXIBILITIES

Developers Rating module categorises developers as per magnitude of supply and
class of city/ies where they are undertaking projects. Developers can also be
segregated as per their prominence in specific asset class such as apartment
(luxury or affordable), plots or villas.

Subscribe Free demo







OPPORTUNITY IDENTIFICATION FOR HOME LOANS (OPPS)

OPPS is a data driven analytics tool to help banks, HFCs and financiers identify
the potential opportunity and underlying risks while giving out home loans.

 * To find out performing markets
 * How is the market distribution
 * Bank’s penetration in the market
 * Build strategy to capture market
 * Allocate resources to capture markets efficiently
 * Monitor the construction process
 * Identify emerging opportunities
 * Gauge risk


HOW IT WORKS?




DATA

Based on primary quarterly updated data by Liases Foras.


ANALYTICS

Includes rating of project on their marketability and technical soundness, along
with the rating of their developers and locations.


FLEXIBILITIES

Flexibilities to choose from large to small region/mirco markets, specific
segment of product based on type or construction stage. Project of a specific
time of launch or possession date, there are all type of filters.

Subscribe Free demo







QUARTERLY REAL ESTATE MARKET REPORTS

The quarterly city report gives an overview of locational market trends with
various parameters presented and analyzed in-depth with a focus on market
trends, quality movements and performance, along with demand and supply analysis
at city level. The quarterly micro market report gives you crunched and analyzed
data on specific micro market locations within cities/locations in three
versions - Snapshot, Overview and Comprehensive - that you can choose from,
based on your specific requirements. The parameters studied include market
trends, quality movement and performance, along with demand and supply analysis.
It also tracks key projects, developers and other parameters that impact real
estate market at micro market level.

Why our reports?

 * Since we are a non–broking firm, our information is non–biased
 * Our research advisory reports showcase the largest real estate data analytics
   in India
 * Liases Foras covers all the crucial real estate dynamics across several prime
   markets in the country and is known for the most structured data on the real
   estate market in India
 * We collect real estate market trends and data every three months, by
   physically visiting each and every project using the feet on street
   methodology
 * Based on the updates, we compile reports on each of the cities covered. They
   cover various crucial factors observed in the real estate market
 * These reports are compiled to give carefully analysed real estate related
   updates and advisory to investors bankers, developers, brokers, end-users and
   more

 * Q3 FY19_20 Residential Report 35 Cities

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