by Angela Guess
Philip Russom has written an article for tdwi.org sharing six tips for applying Data Quality practices to Data Governance programs. Russom writes, "The barriers to data governance are erased when an organization adopts the techniques and best practices of data quality and the closely related practice of data stewardship. That's because the business-to-IT collaboration established by quality and stewardship practices is also required of data governance. In fact, quality and governance practices are similar, except that the needs of governance are broader, encompassing both enterprise data standards and business issues relative to data, such as compliance, risk, and privacy."
He goes on, "Instead of re-inventing the wheel, user organizations should apply to data governance some of the organizational structures and processes they learned from data quality programs. This minimizes the risks and decreases the time-to-use of data governance. Likewise, there are data quality tool capabilities that can help document, automate, and scale up data governance processes, as described in the following six tips."