Data is the foundation of intelligence

Your guide to loading quality test data

Help! What do we mean by test data? Test data should be realistic in volume, shape, and freshness. Often, when developing a new model or dashboard, it is these unexpected elements of the data that make a project unstable or cause stakeholders to lose trust in your analytics because something “doesn’t look right”. Keep their trust by developing with realistic, but safe to use and sanitised, test data.