What is entity analytics?

Entity analytics provides a platform to assist in the fight against threat and fraud. It uses context accumulation principles for detecting like and related entities across large, sparse, and disparate collections of data. Perform analytics on events, people, things, transactions, and relationships to make better decisions faster.

Entity analytics helps you to find out the answers to the questions like:

  • who is who?
  • who knows who?
  • who does what?
  • whose name is who?

IBM solutions offer context accumulation, real-time analysis, embedded analytics, and complex event processing to help organizations respond faster.


Entity analytics - Better ways to discover entity insights icon

Better ways to discover entity insights

Enable analysts with enhanced capabilities to discover, match, find entities, and non-obvious relationships   to deliver better entity insights. New extendable security model, user interface enhancements and platform updates simplify and extend your ability to pull entity insights out of your data.

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Enhanced platform support and new name matching capability

Makes it easy to resolve analytics challenges on Hadoop. With the new support for Cloudera you can now discover duplicate entity data on all major Hadoop distributions. New comparison and bucketing functions that use IBM Global Name Management enable better name matching.

Entity analytics - Interpret name data with confidence icon

Interpret name data with confidence

Improve the handling of name matching and management with new language & culture support, improved short name comparisons and improved genderization support to properly identify, resolve and interpret your name data.

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