If you could audit a company’s data for a single high-impact insight, which area would you prioritize?

• A. Low-impact archival data
• B. Data with missing values only
• C. High-leverage data silos that affect core metrics
• D. Non-essential logs

Answer: (C)

Focusing on data that drives the most important business metrics yields the biggest impact. When you audit high-leverage data silos—where critical measurements live and decisions rely on them—you can uncover mismatches, data quality gaps, and integration problems that distort performance. Insights from these areas tend to cascade across teams and processes, so improvements here improve overall outcomes more than fixes in less influential data. The other options involve data that either doesn’t change outcomes much (low-impact archival data), only addresses symptoms (data with missing values), or is largely irrelevant for decision-making (non-essential logs).