SSIS:Data Quality Components: Difference between revisions
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Melissa Data’s Data Quality Components for SSIS are a suite of custom Data Transformation components for Microsoft's SQL Server SSIS that encapsulate the six levels of complete Data Quality as defined by Gartner™. High quality data is the basis for solid business decisions. Having an accurate view of your organization, your customers, and your business environment allows organizations to maximize profitability and reduce costly operational inefficiencies. Melissa Data's Data Quality Components for SSIS are the most affordable, full featured enterprise data quality tools to help IT professionals integrate increasingly complex enterprise data - in different formats, structures, and sources, and deliver a single view of critical information assets. | Melissa Data’s Data Quality Components for SSIS are a suite of custom Data Transformation components for Microsoft's SQL Server SSIS that encapsulate the six levels of complete Data Quality as defined by Gartner™. High quality data is the basis for solid business decisions. Having an accurate view of your organization, your customers, and your business environment allows organizations to maximize profitability and reduce costly operational inefficiencies. Melissa Data's Data Quality Components for SSIS are the most affordable, full featured enterprise data quality tools to help IT professionals integrate increasingly complex enterprise data - in different formats, structures, and sources, and deliver a single view of critical information assets. | ||
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Revision as of 20:35, 4 October 2012
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Essentials
Basics
Components
FAQ
Tutorials
Current
Current Build
Released June 2012