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CHAPTER


               Overview of a data governance

               program

                                                                                        3





                                   Laws are sand, customs are rock. Laws can be evaded and punishment escaped
                                                   but an openly transgressed custom brings sure punishment.
                                                                                       dMark Twain


               DATA GOVERNANCE PROGRAM OVERVIEW

               A data governance program really has one clear goaldto disappear. That may seem a bit enigmatic,
               especially since this book is about making data governance real. Nevertheless, it is true. Remember,
               you are deploying a new set of principles for treating a valuable asset in a much-improved manner. At
               the end of the day, the true mark of success is the organization treating its information as it treats its
               factories, supply chains, vendors, and customers. In the twenty-first century, no manager argues with
               standards for material handling, depreciation rules, or customer privacy. These are accepted business
               practices. There is no debate over whether you should have standards or controls. Yet it is easy to
               spread data all over an organization to the point that (a) it is excessively expensive to manage, and
               (b) you cannot find it, make sense of it, or agree on its meaning.
                  Ensuring a good understanding of how a data governance program looks and works is essential to
               getting participants engaged. Every time we kick off a new governance council or team to design a DG
               program, we always hear one person say, “I don’t get the big picture. What does this look like?” The
               concept of assimilating data governance into everyday corporate life adds additional challenge, since
               you are not only defining and implementing a discrete program; you are also attempting to alter
               behavior to a point that the long-term program is visible only through verification and adjustment.
                  Regardless if data governance is new, or has become endemic and institutionalized, there is
               a collection of elements that characterize and describe a data governance program. Understanding how
               these work together aids in understanding the “big picture.” This chapter reviews the scope and content
               of these elements and their interaction.




               THE SCOPE OF DATA GOVERNANCE

               We already mentioned that data governance (DG) is an enterprise concept. There needs to be an
               acknowledgment that the organization will adopt a mindset requiring greater rigor as far as handling its
               data and information. However, declaring the scope of data governance is a bit more complicated than
               saying, “We are governing everything!” It means considering some key factors affecting scope, and
               Data Governance. DOI: http://dx.doi.org/10.1016/B978-0-12-415829-0.00003-4     21
               Copyright Ó 2012 Elsevier Inc. All rights reserved.
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