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US Congress Recognizes Value of “Data Matching” : The Practitioner's Guide to Data Quality Improvement

US Congress Recognizes Value of “Data Matching”

March 15, 2011 by
Filed under: Data Governance, Data Quality 

I was alerted to Kentucky Representative Geoff Davis’s opening remarks at a hearing of the Human Resources subcommittee of the House Ways and Means committee on March 11, 2011, in which he basically promoted the use of data quality technology for “improving customer service, program integrity, and taxpayer savings.” A large part of this drive to reduce fraud and abuse centers on reduction in improper payments, reflecting payments going to the wrong recipient, the wrong amount, or fraudulent payments. Apparently, in 2010, the total amount of improper payments was $125 billion (!!!), up from somewhat over $100 billion the year before. Unemployment insurance and supplemental security income accounted for almost 20% of that 2010 amount.

Presumably, the intent is to understand the “data matching potential for making major strides in program efficiency and effectiveness in the future,” and they are also “interested in promoting the development of a more common set of data elements across programs.”

In other words, it sounds like they would like to clearly define data standards for data sharing (metadata management) in preparation for record linkage and data matching (data quality) to uniquely identify specific parties (master data management) to ensure that defined policies are being observed (data governance).

Where can I sign up to help?


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