Identity Resolution and Variation

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By David Loshin

In my last post, I shared some thoughts on the first of three specific challenges (specifically focusing on the use of contact information as identifying attributes) associated with entity identification and resolution as part of a master data management activity. This week, we look at the second challenge: the increased difficulty of resolving identities for matching records in large data sets as the degree of variation increases.
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Do You Need a Single Version of the Truth

Blog Administrator | Data Management, Data Quality | , , ,
In a world in which data is flooding into organizations from all directions, it has long been axiomatic that companies should try to develop a “single version of the truth.” The idea is that a customer profile, for example, should look the same to everybody from accounting to sales to customer service.

The impetus to build a single version of the truth comes from many sources.… Read More

A Comparison of Microsoft Data Quality Services (Denali) vs. Melissa Data’s Data Quality Components for SSIS

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By Ira Whiteside

Recently Microsoft released a new Beta Release of SQL Server codenamed “Denali,” which included the Data Quality Services (DQS) feature. Here at Melissa Data, we are partners with Microsoft and also participate in the Azure Data Services Market for DQS providing Address Correction references.

Over the next several weeks, we intend to explore the new data quality services capabilities of the upcoming release of SQL Server codenamed Denali, Melissa Data provides additional components that accomplish data quality in the SQL Server and SQL Server Integration Services (SSIS) environment.… Read More