Resources & Tools

Data Does Not Lie — Until It Does

Data does not lie intentionally, but it can mislead profoundly when it is poorly collected, poorly defined, or stripped of context. In this article, John W. Moran, PhD, and Amanda McCarty explain why data quality is not merely a technical issue but a leadership responsibility, particularly in the age of AI.

The article shows how AI amplifies existing data flaws and why organizations must move beyond data accumulation to building trusted data that is accurate, consistent, and rich in context.