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This is the single best book ever written on data quality...Tom lays out a clear path for each organization to holistically improve not only its data quality, but more importantly the performance of its business as a whole.”
— Jeffrey G. McMillan, Chief Analytics and Data Officer, Morgan Stanley

By now, everyone knows that bad data extorts an enormous toll, adding huge (though often hidden) costs, and making it more difficult to make good decisions and leverage advanced analyses.  While the problems are pervasive and insidious, they are also solvable!  As Tom Redman, “the Data Doc,” explains in Getting in Front on Data, the secret lies in getting the right people in the right roles to “get in front” of the management and social issues that lead to bad data in the first place. 

Everyone should see himself or herself in this book.  We are all both data customers and data creators—after all, we use data created by others and create data used by others.   And all of us must step up to these roles.   As data customers, we must clarify our most important needs and communicate them to data creators.  As data creators, we must strive to meet those needs by finding and eliminating the root causes of error. 

Getting in Front on Data proposes new roles for data professionals as:

  • embedded data managers, in helping data customers and creators complete their work,

  • DQ team leads, in connecting customers and creators, pulling the entire program together, and training people on their new roles,

  • data maestros, in providing deep expertise on the really tough problems,

  • chief data architects, in establishing common data definitions, and

  • technologists, in increasing scale and decreasing unit cost.