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Melissa Data Announces Single, Affordable Platform for MDM and Data Quality Initiatives


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Melissa Data, a provider of high-performance data quality, contact data verification and mail management solutions, has announced new software called the Total Data Quality Integration Toolkit (TDQ-IT). The new TDQ-IT software integrates into Microsoft's SQL Server Integration Services (SSIS 2005/2008) to deliver the full spectrum of data quality processes as defined by industry analysts including: Data Profiling, Cleansing, Parsing & Standardization, Matching and Monitoring at an affordable price within SSIS.

Melissa Data has leveraged the extensibility of the SSIS platform to create components that support Data Quality and master data management (MDM) including address verification. This is an example of how third-party vendors can enhance the value of SSIS with best-of-breed functionality seamlessly integrated into it.

Melissa Data studies show that 60 percent or more of their customers' databases contain outdated or flawed data, and that data quality issues make it increasingly difficult for IT organizations to deliver a single, comprehensive view of critical information assets. The TDQ-IT product solves this problem by leveraging the integration capabilities inherent in Microsoft's SSIS. Both SSIS and TDQ-IT can be employed quickly to integrate large volumes of diverse data sources with complex transformations and data cleansing for a wide variety of data quality and MDM applications. In addition TDQ-IT will provide a sharable data driven architecture, providing reusable library of transformations within Microsoft SSIS.

Bud Walker, data quality tools product manager for Melissa Data, tells 5 Minute Briefing that "TDQ-IT integrates into and leverages SSIS, and has an easy-to-use GUI that provides the ability to connect any source to any target without the need for complex programming. Also, in addition to providing the key data quality processes as defined by industry analysts, TDQ-IT also provides data enrichment for tasks such as name genderization, addition of demographic data, and email address validation." For more information, go here.


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