What is entity analytics?

Entity analytics is an incremental context accumulator 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.

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 provide context accumulation for quick time to value, embedded analytics and event processing that dynamically adjust for improved responses.

Gain access to the unified governance & integration platform offerings via flex point licensing. It supports your rapidly evolving business needs by giving you flexible access to the offerings included in the platform. Purchase entitlement based on your expected needs. When your business requirements change, gain the flexibility to add or stop using a product and apply the same flex points to another offering within the platform, as long as you stay within total flex points purchased.

Features

Better ways to discover entity insights

Enable analysts with enhanced capabilities to discover, match, and find entities and non-obvious relationships in order 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.

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.

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.

In the spotlight

InfoSphere Identity Insight

By establishing links between identities using recognition algorithms, InfoSphere Identity Insight helps rapidly predict and pre-empt criminal activity.

Products

IBM InfoSphere Global Name Management

Provides multi-cultural name information, analytics and name matching through a series of flexible, easy-to-integrate, SOA-enabled interfaces.

IBM Big Match for Hadoop

Analyze big volumes of structured and unstructured data to derive deeper customer insight.

IBM InfoSphere Identity Insight

By establishing links between identities using recognition algorithms, InfoSphere Identity Insight helps rapidly predict and pre-empt criminal activity.

Resources

Combating insurance fraud with entity analytics

Combat insurance fraud by accurately identifying individuals, discovering complex relationships and finding links to fraudulent activity.

Outsmarting the social services fraudster

Reduce time and labor for caseload management, quickly comply with new regulations cost-efficiently and identify fraudulent behavior pre-emptively.

Related products

IBM InfoSphere Master Data Management

InfoSphere MDM manages master data for single or multiple domains including customers, suppliers, products, accounts and more.

IBM InfoSphere Master Data Management Collaborative Edition

IBM InfoSphere Master Data Management Collaborative Edition provides product information management and collaborative master data management (MDM) capabilities.

IBM InfoSphere MDM Reference Data Management Hub

Centrally manage and distribute reference data across the enterprise as a standard.