In an era where AI drives decision-making, automation, and predictive intelligence, the phrase “data quality” gets thrown around more than ever. But the definition has become blurry. Many organizations believe that if their data is clean, it is automatically usable. Others assume that AI will magically fix poor data or fill in the gaps. These myths...