When we talk about data quality, we default to a snapshot mindset: pull a sample, run some checks, score the dataset, move on. It is a useful habit, but it treats data quality as a property of a table rather than as the outcome of everything that happened before that table existed. Quality that holds … Continue reading The Importance of Measuring Data Quality from a Process Perspective