Companies that need to improve enterprise data quality are looking to data governance programs to help achieve their goals. In the past, data governance emphasized a time- and labor-intensive, top-down approach that did not yield immediate results. Today, new agile practices have evolved that incorporate streamlined processes and technologies that make data governance an effective way to solve many pressing data quality problems. In a prior article, “Agile Data Governance: the Key to Solving Enterprise Data Quality Problems,” we discussed why a top-down approach doesn’t work and gave an overview of how to implement an agile approach to data governance. This article describes the seven steps companies should follow when embarking on an agile data governance project.


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