www.tigergraph.com Open in urlscan Pro
141.193.213.20  Public Scan

Form analysis
2 forms found in the DOM

GET https://www.tigergraph.com/

<form role="search" method="get" class="searchform" action="https://www.tigergraph.com/">
  <label for="ocean-search-form-1">
    <span class="screen-reader-text">Search this website</span>
    <input type="search" id="ocean-search-form-1" class="field" autocomplete="off" placeholder="Search" name="s">
  </label>
</form>

GET https://www.tigergraph.com/

<form method="get" class="oew-searchform" action="https://www.tigergraph.com/">
  <a href="#" class="oew-search-overlay-close"><span></span></a>
  <input class="oew-search-overlay-input" type="search" name="s" autocomplete="off" value="">
  <label>TYPE YOUR TEXT AND HIT ENTER TO SEARCH<span><i></i><i></i><i></i></span></label>
</form>

Text Content

This website stores cookies on your computer. These cookies are used to collect
information about how you interact with our website and allow us to remember
you. We use this information in order to improve and customize your browsing
experience and for analytics and metrics about our visitors both on this website
and other media. To find out more about the cookies we use, see our Privacy
Policy.

If you decline, your information won’t be tracked when you visit this website. A
single cookie will be used in your browser to remember your preference not to be
tracked.

Accept Decline
Skip to content
START FOR FREE
START FOR FREE
 * SUPPORT
 * COMMUNITY
 * CONTACT

Menu
 * SUPPORT
 * COMMUNITY
 * CONTACT



MENUMENU
 * Products
   
   * The World’s Fastest and Most Scalable Graph Platform
     
     LEARN MORE
     
     
     
     Watch a TigerGraph Demo
     
     
     
     
     
     PRODUCTS
     
      * Why Graph?
      * Products Overview
      * What's New
      * GraphStudio User Interface
      * Visualization Toolkits
      * GSQL Query Language
      * Connectors
     
     TigerGRAPH ENTERPRISE
     
      * Enterprise Overview
      * Features
     
     TIGERGRAPH CLOUD
     
      * Cloud Overview
      * Cloud Starter Kits
      * Login/Sign Up
     
      * FAQ
      * Pricing
      * Marketplaces
     
     Graph Data Science
     
      * Graph Data Science Library
      * Machine Learning Workbench
     
     TRY TIGERGRAPH
     
      * Get Started for Free
      * Compare Editions
      * Test Drive - Online Demo
      * Watch Demos
      * Request a Demo
 * Solutions
   
   * The World’s Fastest and Most Scalable Graph Platform
     
     LEARN MORE
     
     
     
     Watch a TigerGraph Demo
     
     
     
     
     
     Solutions
     
      * Solutions Overview
     
     INCREASE REVENUE
     
      * Customer Journey/360
      * Product Marketing
     
      * Entity Resolution
      * Recommendation Engine
     
     MANAGE RISK
     
      * Fraud Detection
      * Anti-Money Laundering
     
      * Threat Detection
      * Risk Monitoring
     
     IMPROVE OPERATIONS
     
      * Supply Chain Analysis
      * Energy Management
     
      * Network Optimization
     
     By Industry
     
      * Advertising, Media & Entertainment
      * Financial Services
      * Healthcare & Life Sciences
     
     FOUNDATIONAL
     
      * AI & Machine Learning
      * Time Series Analysis
      * Geospatial Analysis
 * Customers
   
   * The World’s Fastest and Most Scalable Graph Platform
     
     LEARN MORE
     
     CUSTOMER SUCCESS STORIES
     
      * Citrix
      * Ford
      * Intuit
      * JPMorgan Chase
      * READ MORE SUCCESS STORIES
     
      * Jaguar Land Rover
      * United Health Group
      * Xbox
 * Partners
   
   * The World’s Fastest and Most Scalable Graph Platform
     
     LEARN MORE
     
     PARTNER PROGRAM
     
      * Partner Benefits
      * TigerGraph Partners
      * Sign Up
     
     TigerGraph partners with organizations that offer complementary technology
     solutions and services.
 * Resources
   
   * The World’s Fastest and Most Scalable Graph Platform
     
     LEARN MORE
     
     BLOG
     
      * TigerGraph Blog
     
     RESOURCES
     
      * Resource Library
      * Benchmarks
     
      * Demos
      * O'Reilly Graph + ML Book
     
     EVENTS & WEBINARS
     
      * Graph+AI Summit
      * Graph for All - Million Dollar Challenge
     
      * Events &Trade Shows
      * Webinars
     
     DEVELOPERS
     
      * Documentation
      * Ecosystem
     
      * Developers Hub
      * Community Forum
     
     SUPPORT
     
      * Contact Support
     
      * Production Guidelines
     
     EDUCATION
     
      * Training & Certifications
 * Company
   
   * Join the World’s Fastest and Most Scalable Graph Platform
     
     WE ARE HIRING
     
     COMPANY
     
      * Company Overview
      * Leadership
      * Legal Terms
      * Patents
      * Security and Compliance
     
     CAREERS
     
      * Join Us
      * Open Positions
     
     AWARDS
     
      * Awards and Recognition
      * Leader in Forrester Wave
      * Gartner Research
     
     PRESS RELEASE
     
      * Read All Press Releases
     
     TigerGraph Appoints Eisuke Saito as General Manager and VP, Japan
     August 7, 2022
     Read More »
     
     
     NEWS
     
      * Read All News
     
     Four Lessons For New And Would-Be Founders I Learned When I Made A Career
     Pivot
     
     
     
     #133 Connecting the Dots Faster Than Ever with Dr. Victor Lee at TigerGraph
     
     
 * START FOR FREE
   
   * The World’s Fastest and Most Scalable Graph Platform
     
     GET STARTED
     
      * Request a Demo
     
      * CONTACT US
     
      * Try TigerGraph
     
      * GET STARTED FOR FREE
      * TRY AN ONLINE DEMO


A GUIDE TO COMBATING FINANCIAL CRIMES WITH GRAPH DATABASES AND ANALYTICS

 * Emily McAuliffe
 * August 26, 2021
 * blog, Finance, Fraud / Anti-Money Laundering

 * Blog >
 * A Guide to Combating Financial Crimes With Graph Databases and Analytics

By Heather Adams, Managing Director, Accenture originally featured in our Spring
2021 Graph + AI Summit. Watch here.

Detecting financial crime is not just a legal or compliance exercise; it’s about
playing a meaningful role in society.


WHY SHOULD ORGANIZATIONS TAKE A MORE DATA AND ANALYTICS-DRIVEN APPROACH TO
COMBAT FINANCIAL CRIME? 

Well, there are several reasons:

To improve compliance and risk management. Using more data and analytical
approaches enables organizations to add robust, auditable controls, and to do so
without having to take on additional headcount. Many are also looking to
leverage new sources of data to do this, such as more adverse media information
from news articles around the world, data available from registries or paid data
sources.

To reduce manual effort. For those who carry a significant headcount, due to the
nature of their existing fraud and financial crime controls, predominantly
banks, taking a more data-driven and analytics-driven approach can also increase
efficiency. Data-driven approaches typically reduce manual effort, and analytics
reduces the volume of alerts requiring investigation. 

To help organizations realize benefits from digital transformation. Recently,
the pace of digital transformation has been growing faster than ever seen
before, especially with the global pandemic. This shift to more digital from
home and less in-person interactions is fueling a lot of organizations to really
invest in digital change and transforming their organizations to have a more
digital customer experience. This increasing digitalization of customer
experiences is a good opportunity to take data captured electronically and to
enrich your business case. By then using that data to allow for much more
automated checks for signs of fraud, money laundering, terrorist financing, or
sanctions breaches. It can also flow through into data stores that align
customer behaviors with their transactions, and information that can be used to
look for unusual or suspicious activity.


WHAT ARE THE KEY AREAS OF OPPORTUNITY IF WE CAN BRING IN MORE DATA AND ANALYTICS
IN COMBATING FINANCIAL CRIME? 

Better data sourcing. Acquiring a broader range of data can be achieved via more
streamlined customer interactions. We can use this to drive more automated and
robust decision-making and risk identification. That data can also be fed into
tools like graph technology which connects data effectively. With internal and
external data sources you are able to identify relationships between parties,
this enables you to look at the risk associated across these hierarchies and
relationships, rather than having the narrow view of one counterparty. 

We can also start to think about how we can use unstructured data. Typically, it
has been a concept that we can use data from the world’s media. However, to be
able to pick out all that information from large chunks of unstructured data, we
need to be able to use natural language processing (NLP). Machine learning needs
to be developed to sort through all of the information that’s gathered to be
able to produce meaningful results that are risk scored and worthy of manual
investigation. As such, we need to have ways to not only pick up and machine
read the data, but also ways to qualify and to score that data using the
analytical capabilities. We can also use NLP to pick out data from documents
provided by our customers and reduce a lot of the manual rekeying that has
happened to date. 

Better detection of possible fraudulent activity of money laundering, terrorist
financing, or sanctions breaches. With analytics, we can have a clearer view of
factors within the network of relationships and transactions between people and
companies. 

We can use graph technology to help us better understand connections within our
data. This enables us to examine risk in a different way, which may reveal
relationships we may not have been able to see before. 

We can also explore patterns. For example, how does the behavior of a particular
group of customers vary against their peers? We can start to compare behaviors
over time with what was normal for that customer in the past versus what they’re
doing now. 

We can also use patterns to establish patterns of normal and be able to use that
to remove noise from the system. Often in the past, organizations like banks,
who’ve had to look into trying to flag suspicious activities have suffered from
incredibly high false positives. And as a result it’s been like trying to spot a
needle in the haystack. But now we can build up patterns of good customers and
good behaviors. We can use these to drag out some of the false positives as well
as better honing in on the things that are truly unusual or truly suspicious. 


WHERE SHOULD ORGANIZATIONS BE FOCUSING THEIR ATTENTION?

Have a holistic view of what you’re seeking to achieve, and have some ideas of
the kinds of tools and technologies that will help you get there. But it doesn’t
mean that you need to do everything at once. 

It’s really important to test and learn on your data, making incremental gains
with each evolution of the analytical models and the data sets that you’re using
and applying what you’ve learned to the next. Why? Well, a lot of clients that I
talked to, you can initially feel very overwhelmed by the vast array of data
that they already have. And one of the best things to do in the first instance
is not to add more, but actually focusing on what is important – different
hypotheses that you want to test, patterns of behavior that you want to look
for, what typical fraud cases you’d like to search for you –  and test and learn
from the data. Once you have a working model that’s really honed in and refined
down and contains the right data that you need, then that is a very powerful
asset. This asset can then be deployed and rolled out in further aspects of your
business or different geographies.


WHAT ELSE IS IT IMPORTANT TO GET RIGHT ALONG THE WAY? 

To get those hypotheses right, you have to team up your content specialists with
your data scientists and data engineers.

Data engineers will help you hone in on important attributes, they’ll help you
build ways of leveraging your data. Data scientists can build models that can
leverage all different aspects of advanced analytics and machine learning, but
they are not usually people who are experts in your business and the behaviors
of your customers. 

So you need people who understand your industry, where fraud may take place,
where people may be exploiting you for purposes of money laundering, or which
aspects of your business have the potential to be breached. 

Bringing these key risk scenarios into your thinking and using them to generate
hypotheses, test these hypotheses, and learn from the results, is really
important to be able to explain your logic to others. 

Explaining your logic to others brings me to my second point: designing for
explainability. It’s really fundamental that your models align with your ethical
principles and your internal policies. What you are trying to identify needs to
be things you would be comfortable explaining to your customers.

And then finally, do not go out alone, leverage the experience of others. This
is a very fast-evolving area. And being able to work with people who know how to
go about doing this can really help accelerate, and can really help you focus on
the value that you get out of this exercise. It’ll stop you from making mistakes
that others have made before. And it will make your journey go so much more
smoothly in terms of being able to add incrementally the value that you get from
trying to bring us data more effectively and to build out your advanced
analytics capability to better combat financial crime. 

In conclusion, any step forward in better identifying where fraudsters are
taking advantage of customers, or where your organization is being abused by
criminals, is a great step forward. Data and analytics can absolutely be part of
that journey and can be really important tools in making that happen. They are,
however, the kind of tools where you may not get everything right the first
time: you need to build things up in a way that you learn as you go, and you
keep evolving it. But in return, what you get is your team learns and grows, or
you work with others who bring the relevant skills and experience and has a way
of really boosting up your capability to better combat fraud and financial crime
in a very repeatable, scalable, and dynamic way. 

This won’t be a solution that in another few years, you have to throw away and
replace with the next best thing. Taking these kinds of approaches allows you to
continuously evolve and learn and make your solution better and better. 

Watch Heater Adam’s Graph + AI Session here.





YOU MIGHT ALSO LIKE

GET TO KNOW THE LATEST TIGERGRAPH...

August 2, 2022

INTERVIEW WITH MILLION DOLLAR CHALLENGE GRAND...

August 1, 2022

PODCAST: LEARN MORE ABOUT THE TIGERGRAPH...

July 28, 2022


INTRODUCING TIGERGRAPH 3.0

July 1, 2020


EVERYTHING TO KNOW TO PASS YOUR TIGERGRAPH CERTIFICATION TEST

June 24, 2020


NEO4J 4.0 FABRIC – A LOOK BEHIND THE CURTAIN

February 7, 2020


TIGERGRAPH BLOG

Search this website
Categories
* ASIA PACIFIC EVENTS
* blogs
  * About TigerGraph
  * Benchmark
  * Business
  * Community
  * Compliance
  * Customer
  * Customer 360
  * Cybersecurity
  * Developers
  * Digital Twin
  * eCommerce
  * Emerging Use Cases
  * Entity Resolution
  * Finance
  * Fraud / Anti-Money Laundering
  * GQL
  * Graph Database Market
  * Graph Databases
  * GSQL
  * Healthcare
  * Machine Learning / AI
  * Podcast
  * Supply Chain
  * TigerGraph
  * TigerGraph Cloud
* Graph AI On Demand
  * Keynote
  * Session
* Video

RECENT POSTS

 * Evanta CDO Executive Summit – Chicago
 * FIMA Europe 2022
 * Data. AI. Precision. Innovation. For Pharma, Healthcare & Partners
 * Gartner IT Symposium/Xpo
 * Fachkonferenz Versicherungsbetrug 2022

PRODUCT

SOLUTIONS

CUSTOMERS

RESOURCES

START FOR FREE

PRODUCT

 * Overview
 * What's New
 * Toolkits
 * Connectors
 * Data Science Library

TIGERGRAPH DB

 * Overview
 * No-Code Graph Analytics
 * Features
 * GSQL Query Language

TIGERGRAPH CLOUD

 * Overview
 * Cloud Starter Kits
 * Login
 * FAQ
 * Pricing
 * Cloud Marketplaces

GRAPHSTUDIO

 * Overview
 * Take a Test Drive

TRY NOW

 * Get Started for Free
 * Compare Editions
 * License FAQ

SOLUTIONS

 * Why Graph?

INDUSTRY

 * Advertising, Media & Entertainment
 * Financial Services
 * Healthcare & Life Sciences

USE CASES

 * Benefits
 * Product & Service Marketing
 * Entity Resolution
 * Customer 360/MDM
 * Recommendation Engine
 * Anti-Money Laundering
 * Cybersecurity Threat Detection
 * Fraud Detection
 * Risk Assessment & Monitoring
 * Energy Management
 * Network & IT Management
 * Supply Chain Analysis
 * AI & Machine Learning
 * Geospatial Analysis
 * Time Series Analysis

SUCCESS STORIES

 * Customer Success Stories

PARTNERS

PARTNER PROGRAM

 * Partner Benefits
 * TigerGraph Partners
 * Sign Up

LIBRARY

 * Resources
 * Benchmark
 * Webinars

EVENTS

 * Trade Shows
 * Graph + AI Summit
 * Million Dollar Challenge

EDUCATION

 * Training & Certifications

BLOG

 * TigerGraph Blog

DEVELOPERS

 * Developers Hub
 * Community Forum
 * Documentation
 * Ecosystem

COMPANY

COMPANY

 * Overview
 * Careers
 * News
 * Press Release
 * Awards
 * Legal
 * Patents
 * Security and Compliance

GET STARTED

 * Get TigerGraph
 * Compare Editions
 * Online Demo - Test Drive
 * Request a Demo

PRODUCT

 * Overview
 * TigerGraph 3.0
 * TIGERGRAPH DB
 * TIGERGRAPH CLOUD
 * GRAPHSTUDIO
 * TRY NOW

CUSTOMERS

 * success stories

RESOURCES

 * LIBRARY
 * Events
 * EDUCATION
 * BLOG
 * DEVELOPERS

SOLUTIONS

 * SOLUTIONS
 * use cases
 * industry

PARTNERS

 * partner program

COMPANY

 * Overview
 * news
 * Press Release
 * Awards

START FOR FREE

 * Request Demo
 * take a test drive

Also of Interest
 * Anti-Money Laundering Analytics with Graph DB
 * Graph database solutions
 * Expero toolkits

 * SUPPORT
 * COMMUNITY
 * CONTACT

 * Copyright © 2022 TigerGraph
 * Privacy Policy

 * Linkedin
 * Facebook
 * Twitter

Copyright © 2020 TigerGraph | Privacy Policy

Copyright © 2020 TigerGraph Privacy Policy

 * SUPPORT
 * COMMUNITY

 * COMPANY
 * CONTACT

 * Linkedin
 * Facebook
 * Twitter

Copyright © 2020 TigerGraph

Privacy Policy

 * Products
 * Solutions
 * Customers
 * Partners
 * Resources
 * Company
 * START FOR FREE


TYPE YOUR TEXT AND HIT ENTER TO SEARCH