#datagovernance #dataquality #data In this post, I look at how a theoretical perspective on what causes data quality decline can help with very specific, practical steps to improving data integrity, controls, processes and knowledge. Start with the basics Data quality errors exist because something broke down somewhere at a data "moment of truth", which is any opportunity to capture, correct or update data that went awry somehow. Let's say some event happens that could affect