Empirical Data Quality Management

Data quality management has reclaimed its position as the most valued trend globally in 2026, underlining its critical role in ensuring trustworthy and reliable data across organizations. Organizations have realized that AI agents and models can only avoid hallucinations if supplied with reliable, consistent data.

The trend demonstrates a clear performance gap: best-in-class companies rate its importance at 8.5, compared to the average of 7.9, highlighting that leaders recognize data quality as an indispensable prerequisite for unlocking value from new technologies. Utilities rate data quality management highest among all industries, underlining the importance of reliable infrastructures.

This foundational trend continues to demonstrate lasting significance, confirming that the most valued trends are still rooted in strong data foundations.