What is Entity Analytics?
Entity Analytics Solutions (EAS) are incremental context accumulators for detecting like and related entities across large, sparse, and disparate collections of data, including both new and old data, small and big data environments, to perform analytics on events, people, things, transactions, and relationships.
How it helps your enterprise
- Allows organizations to predict and pre-empt questionable activity faster and more cost effectively
- Detects and derives entities that are the same, in spite of efforts to mask or hide them
- Detects non-obvious relationships between entities to multiple degrees
- Automatically notifies individuals and systems in real time of questionable activities for faster action and prevention
Customer Spotlight
Learn how MoneyGram International leveraged IBM InfoSphere Identity Insight as part of its comprehensive fraud prevention program, saving over $37 million and reducing customer fraud complaints by 72%.
Contact IBM
Considering a purchase?
- Email IBM
- Request a quote
Or call us at: 1-877-426-37741-877-426-3774
Priority code: Info Mgmt
Combating insurance fraud with Entity Analytics
Explore the entity analytics capabilities in the IBM solution and learn about real-world use cases that highlight the value of entity analytics in fighting fraud.
Outsmart the insurance claim fraudster
Hear experts share specifics on what exactly is entity analytics, how it is being implemented and what results have been garnered by taking a different approach to address critical challenges facing insurers today.
Jeff Jonas' Blog
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Learn about information management and privacy in the information age
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