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Identity Resolution Daily Links 2008-6-2

DailyRecord.co.uk: Insurance firms cracking down on fraud

“With fraudulent claims on the up, companies are cracking down on false claims. According to RSA, data from any false policy claim will now be shared with other companies through the Insurance Fraud Bureau (IFB). John Beadle, RSA’s counter fraud manager, said: ‘The reality is that insurance fraud adds a significant amount to overall claim costs and it’s the honest policyholders who are the true victims. ‘Fraud adds five per cent onto their insurance bills.”

DMReview.com: Quality Control - Sanjay Rao transforms Identity Systems’ focus from identity matching to data quality

“With backgrounds in both finance and software engineering, Rao immediately took over as general manager at the identity matching pure-play, making him the highest-ranking person with direct hands on the company. As the inside and outside face of the organization, Rao has since overseen eight quarters of strong growth, including almost doubled revenue and profitability. Most lately, Rao has spearheaded Identity Systems’ push into the broader data quality market, as he recently explained to DM Review Editorial Director Jim Ericson.”

b-eye.com - Business Intelligence Network - Blog: Claudia Imhoff: First Steps in Operational BI

“Operational BI is becoming quite the buzz today. There are countless articles, tips, vendors with operational BI offerings, case studies, etc., available today. Yet, I still get asked the very basic question of how do you get started. What are the first steps? Well, here are my thoughts on how to get started…”

ITWeb: Informatica reports record first quarter results

“Significant milestones achieved since January 2008 include: * Announced definitive agreement to acquire Identity Systems, a pioneer in identity resolution and matching technology.”

CIO - Blog: Why Storage and Data Management Will Kick Your Butt

“So what say these IT professions? The ‘Crunch Time’ study concludes that most IT organizations ‘are not equipped to handle periods of intense data flow,’ despite the majority of respondents saying they know that the data tsunamis are coming in the next year.”

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