Volume doesn’t equal quality in the world of healthcare data governance. This case study from the dairy industry shows that a large data governance committee doesn’t necessarily add up to trustworthy data or effective decision-making. Why the dairy industry? Prior to Organic Valley, the author worked as a data architect in healthcare data warehousing for one of the largest healthcare systems in the Midwest. This article shows how valuable a strong data governance model is, regardless of industry, at aligning IT and business decision-making personnel from across the enterprise to bring about a greater appreciation of the importance of data and its role in guiding the business. A best-practice governance framework also can result in more trustworthy data and a faster track to developing the enterprise data warehouse (EDW) model.
Learn more about Kyle Bartelt
Kyle Bartelt has seven years of experience as a data architect. In his current role at Organic Valley, in addition to data warehouse architecture, he co-chairs the Data Governance Committee and coordinates with the Data Steward (Harmonization) council. Currently he is helping to lay the foundation of a robust data governance model focused on the rigorous collection and approval of data definitions and policies. Prior to Organic Valley he worked as a data architect in healthcare data warehousing for one of the largest healthcare systems in the Midwest. Kyle has an M.S. degree in Soil Science from the University of Wisconsin – Madison and a B.A. degree in Mathematics from Luther College.