Data Quality and Integrity Challenges
This theme covers the pervasive issues related to poor data quality, inconsistent data definitions, missing or incorrect data, and the resulting impact on analytics and decision-making. It includes the difficulties in cleaning, validating, and maintaining trustworthy data across complex and legacy systems.