Identity Resolution Daily

By Robert Barker, Infoglide Senior Vice President & Chief Marketing Officer

I’m back from the holidays with more insights about identity resolution.

Several times in past posts we’ve compared and contrasted Identity Resolution with other market spaces that it’s sometimes mistaken for, including MDM, data integration, data warehousing, name matching, and data quality. It was worthwhile to differentiate identity resolution, but the next step is to outline the critical requirements that any identity resolution solution has to address.

Below are the requirements for a comprehensive identity resolution solution. They’ve been grouped into four categories: identity matching, relationship detection and resolution, decisioning, and business process integration.

Identity matching
1       similarity (non-exact) matching
2       scrambled data (e.g. street name and street number reversed)
3       needs no special handling of missing data
4       default weightings (e.g. street name versus street number)
5       user-configurable to address unique needs
6       deterministic analytics for multiple attribute types
7       mathematical analytics
8       multiple attribute-specific algorithms invoked as need

Relationship detection/resolution
9       leverage and capture valuable ambiguous identity information
10     deterministically show derivation of detected relationships
11     anonymous resolution

Decisioning
12      user control over decisioning

Business process integration
13       fully integrated end-to-end solution in one product
14       optional live remote access to disparate data sources
15       integrate into existing infrastructures
16       use industry-standard web services and APIs
17       separate repository not mandatory
18       alert-based exception reporting

Products in adjacent spaces like MDM and data quality often address a small subset of these requirements, but the number of integrated offerings that address all of them is a very, very short list!

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[Post from Infoglide] Welcome to My World

“In reflecting about 2008 in this last post of the year, it’s been great to see identity resolution (aka entity analytics or entity resolution) grow into a unique, identifiable market. We started developing identity resolution technology in 1996.”

Workers’ Compensation Law Center: Employer Fraud in Workers’ Compensation – Just How Significant Is It?

“As to employee fraud, there is a relatively small amount involved in the individual claim when compared to employer fraud, which potentially involves hundreds or thousands of fraudulent transactions.  The wider the net, the more the fraud.  When thousands of employers across the country intentionally fail to pay required workers’ compensation premiums or misrepresent the job classification of employees who are covered, the fraud perpetrated on the system vastly exceeds the dollar amount of employee fraud.”

RCMP Gazette: Lottery fraud

“Using the figure of 60,000 sellers (from the OLG’s court testimony), together with the spending factor of 1.5 (from the Fifth Estate and CRA surveys), we would expect that, in the absence of fraud, lottery sellers would win about 57 of the major prizes between 1999 and 2006 — far less than the 200 they actually won.”

PCWorld: Reading IT’s Tea Leaves for 2009

“Still, software spending will grow by 6.6% in 2009 to $244.3 billion, Gartner predicts, revising downward its previous forecast of 9.5% growth. Companies will delay or even cancel SOA projects, but software aimed at optimizing how organizations are run, such as business process management and master data management will fare better, Gartner says.”

Hartford Courant: CHESHIRE: Arrest In Fraud Case

“A Woodbury man who authorities say misrepresented his wage by doubling it when applying for disability payments was arrested Friday. Nicholas P. DeGrazia, 59, of Pilgrim Trail was arrested on a warrant charging him with workers’ compensation fraud, according to a press release from the state division of criminal justice.”

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