The Hidden Cost of Bad Data: Why It’s Undermining Your AI Strategy | HackerNoon

Poor data quality is a massive hidden cost that silently sabotages expensive AI projects and drains company resources. The “1-10-100 Rule” proves that proactive prevention is exponentially cheaper than fixing failures downstream. The solution requires a systematic approach, starting with a data audit and establishing continuous data governance, which ultimately transforms data from a liability into a high-ROI strategic asset.