Identity Resolution Engine 2.2

Interactive Desktop Metaphor

Operate comfortably in a familiar, but web-based, environment.

Similarity Search

Locate similar entities across disparate data sources: database tables, flat files, and even web services.

Discover Hidden Relationships

Find related entities across multiple degrees of separation and various relationship types and visualize their relationships.

Automated Decisioning

Automatically search or discover distant relationships, apply business rules, and suggest actions.

Manage Cases

Organize efforts using lightweight case management to process automatically or manually created cases. Audit trails track progress.

Productivity

Capture interesting information for later reference with "Favorites".

Personalization

Adapt to organizational or personal preferences.

Integrated Development Environment

Configuration heirarchy, multiple editor tabs, and integrated documentation speed configuration, review, and management.

Custom Editors

Configure components via XML or custom editor dialogs.

Common Operations Simplified

Easily create or manipulate components via menus and keyboard shortcuts.

Interact Live

Test and manage the system using the console to execute commands.

Flexible Security

Authenticate using existing enterprise LDAP, Active Directory, or CAS infrastructure, database tables, or configuration files.

Manageability

Monitor using JMX and remote logging.

Easy Integration

Connect via SOAP and RESTful web services, JMS, raw sockets, or native embedding.

Accurate Identity Matching

• Similarity (non-exact) matching — more than 50 algorithms ("measures") that offer a variety of parameters to adjust matching precision ("exactness" or "fidelity") and recall ("completeness")
  • Names / Addresses / Telephone Numbers
  • Dates
  • Cultural Names
  • Gender Resolution
  • License Plates
  • Colors
  • Passports / Drivers Licenses
  • IP Addresses
  • Geolocation (Latitude / Longitude)
• Scrambled data (e.g., street name and number reversed)
• Missing and sparse data fields
• Component weighting (e.g., street name versus number)
• User-configurable matching algorithms
• Context-based attribute matching algorithms - Unlike traditional search technologies that increase the chances of false negatives with the more search attributes as criteria, IRE decreases the chances of false negatives.
• Synonym tables
• 'Dirty' data in its native format
• Does not require data standardization
• Multiple languages

Configurable Business Solution

• Business Domain-specific rules engines permit customization of identity resolution results and implementation of business rules
• Data mapping mechanisms handle various data source types and structures for consistent searching, relationship detection, and identity resolution across disparate systems
• Hook points, pre-processors, and post-processors that permit adjustments to meet specific business needs with minimal effort
• Multiple search strategies, including in-memory and database-oriented options, for optimal results
• Adjustable weighting and tuning to eliminate false negatives and false positives

Easy to Integrate, Easy to Use

• Performs well on a wide variety of commonly-available hardware
• Live remote access to disparate data sources; separate repository not mandatory
• Use existing data model — no need to build an expensive warehouse
• New data sources added "on the fly" via integrated mapping technologies
• Flexible licensing

Based on expertise developed in working with the Department of Homeland Security, Infoglide has introduced a fundamentally different approach to operational business intelligence - identity resolution (external link) (also known as entity resolution and analysis).

Our Identity Resolution Engine™ (IRE) is typically used to uncover risk, fraud, and conflicts of interest but is also a useful tool for use within Customer Data Integration (CDI) and Master Data Management (MDM) requirements.

Our Identity Resolution Engine (IRE) is a fully integrated engine that provides four layers of operational business intelligence power.

Who's Who — Name/Identity Matching

Due to data entry errors or purposeful manipulations, organizations often have several variations of individuals' identities spread across different data silos. IRE analyzes data in disparate, often remote, data sources such as employee records, vendor data, and watch lists to determine which variations may or may not be the same individual. By comparing similarities between underlying attributes such as address, date of birth, driver's license, etc., IRE eliminates some possible matches and confirms others as very likely matches.

IRE uses over 50 patented algorithms to assess degree of similarity and returns a scored result indicating the likelihood that certain entities are a match. It can then access both internal and external data sources, including commercially available public sources, and can operate in batch mode or real time.

For example, IRE can determine if Moamar El Kadhaafi, Moammar Khadafy, and Mo'ammar Gadhafi are the same person with altered name spellings or three distinct individuals.

Who Knows Whom — Relationship Detection

IRE applies analytical logic to understand where non-obvious relationships exist between individuals and entities. In the example above, perhaps Muammar al-Quaddafi and Mo'ammar Gadhafi are not the same individual, but rather two distinct people who share common attributes such as a similar address or phone number.

What Does it Mean — Decisioning and Rules Processing

IRE applies rules specific to the industry or organization. In the instance of airline passenger screening, if Muammar al-Quaddafi and Mo'ammar Gadhafi are two people who share common attributes such as a similar address or phone number and Muammar al-Quaddafi is on the terrorist watch list and Mo'ammar Gadhafi is trying to board an airplane, that signals a possible risk.

What We Do With It — Business Processing

The information from the three preceding steps is used to determine what action, if any, needs to be taken. Based on the needs of the organization, this determination can be specifically tailored and adapted. So, in our example, DHS may want to mark Mo'ammar Gadhafi's boarding pass so that he undergoes further screening before being allowed to pass through security.

Benefits to Selecting Identity Resolution Engine

Infoglide is a leader in identity resolution (AKA entity analytics) because our IRE provides:

• Faster integration
• Easier usage and customization
• Responsive support
• Lower cost of ownership

To get more information about IRE 2.2, fill out the short form below.

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