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October 20, 2020 - Claire Zhou

Linkage Analysis: How to Investigate Fraud Cases Beyond Table View

Fraud and financial crimes are continuing to grow and evolve with no relief in sight. As fraudsters come at a larger scale and higher frequency, they put more pressure on fraud investigation teams and operation teams to review cases, analyze patterns and take actions. 

Organizations are looking for fraud analytics and case management solutions that can increase operational productivity and empower the team to make better and quicker decisions to prevent fraud.

DataVisor’s new capabilities to uncover and investigate fraud and organized crime rings use linkage investigation from Knowledge Graph to detect these fraud patterns. Here’s how it works.

Investigate Smarter– with a Linkage View, Not an Isolated Table View

Individual and table-view investigations are not effective enough to uncover sophisticated and coordinated fraud attacks. With DataVisor’s comprehensive fraud detection platform and Knowledge Graph, organizations can view data points in real time (including unstructured data) and compare them to other pieces of data in the network. By linking data and seeing the relationships between them, organizations can better understand what fraud looks like and take quick action to prevent it.

DataVisor illustrates these relationships in the Knowledge Graph to visualize these patterns. By connecting data that traditionally live in siloes and showing how data points relate, organizations can remove much of the guesswork and manual investigation aspects that prevent them from keeping pace with cybercriminals.

Build Linkages in Real-Time from Omnichannel Data

Here is how DataVisor can help your teams investigate smarter by holistically analyzing data from different channels and providing an intuitive way to review cases and take actions:

Holistic data analysis

Get insights from omnichannel data from your organizations to make informed and contextual decisions. Connect structured and unstructured data from various sources in real-time, via API or user uploading, including cloud and on-prem databases, local files, third-party databases, and signals. 

Real-time graph building and deep-link analysis

Build multi-dimensional connections among entities, groups, money flows, IPs, emails, and other attributes in real-time, to uncover hidden patterns and empower contextual decisions.

Smart layout with an intuitive view

Provide an easy-to-understand layout that displays critical connections based on different risk and fraud scenarios, so that investigators get the most valuable insights while not being overwhelmed by trivial information. 

One-click investigation

Highlight fraudulent relationships in the network and support one-click investigations that connect the new entities or events with previously detected fraud rings, without the need for manual searches.

See DataVisor’s Knowledge Graph in Action

Effective fraud prevention goes beyond looking at individual cases and data points. Productive fraud analytics and actions need a smart and scalable approach. Because of the sophisticated nature of today’s fraud attacks, organizations can be more proactive and effective by understanding the context in which fraud occurs. 

Learn more about how DataVisor’s Knowledge Graph is transforming fraud detection and empowering contextual decisions by signing up for a group demo today.

Group Demo
Photo of Claire Zhou
about Claire Zhou
Claire is a Product Marketing Manager at DataVisor with over 5 years of marketing experience in security and fin-tech. She is passionate about empowering enterprise customers with AI-based solutions. Her expertise spans data analytics, cybersecurity, and fraud prevention. Claire has an MBA from UCLA.
Photo of Claire Zhou
about Claire Zhou
Claire is a Product Marketing Manager at DataVisor with over 5 years of marketing experience in security and fin-tech. She is passionate about empowering enterprise customers with AI-based solutions. Her expertise spans data analytics, cybersecurity, and fraud prevention. Claire has an MBA from UCLA.