As systems mature and data volumes explode, the ability to control the flow and integrity of data becomes costly and cumbersome to manage. Developing a data governance program may be the most effective way to address these issues and ensure data quality across the enterprise. The most common definitions of data governance focus on achieving data quality through a combination of transparent data stewardship processes, a cross-functional hierarchy of committees, corporate policies and enterprise technology. This is all relatively straightforward, but challenges surface when trying to find the appropriate balance of data scope, executive leadership, cross-functional representation, business process reengineering and key initiatives. A method to reach that balance can be achieved by following a set of comprehensive steps in developing your data governance program.
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