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The three pillars of data governance—compliance, transformation,and integration—represent the most common goals for data governance programs.

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The three pillars of data governance (DG)—compliance, transformation, and integration—represent the most common goals for data governance programs. Each can be a starting point for a new DG program, and all three relate and share dependencies in a mature, enterprisewide program.

This article originally appeared in the issue of Transforming Data with Intelligence.

About the Author

Philip Russom, Ph.D., is senior director of TDWI Research for data management and is a well-known figure in data warehousing, integration, and quality, having published over 600 research reports, magazine articles, opinion columns, and speeches over a 20-year period. Before joining TDWI in 2005, Russom was an industry analyst covering data management at Forrester Research and Giga Information Group. He also ran his own business as an independent industry analyst and consultant, was a contributing editor with leading IT magazines, and a product manager at database vendors. His Ph.D. is from Yale. You can reach him by email (, on Twitter (, and on LinkedIn (

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