Why This Matters
Poor data quality is the most common root cause of unreliable management reporting. When source data is inaccurate, incomplete, or inconsistently defined, no amount of reporting infrastructure investment can produce trustworthy outputs — garbage in, garbage out. Maintaining high data quality requires continuous attention: proactive validation controls, clear ownership for quality issues, and regular data quality assessments to detect and correct problems before they propagate into management reports.
Where This Fits
This term sits within the Data Governance & AI Readiness area of Performance & Control.