Why Your Data Is Probably Less Reliable Than You Think
Many organizations mistakenly believe their data is reliable due to structural quality issues. Fragmentation and manual handling lead to accumulating inconsistencies, requiring a systematic approach to integration, governance, and automation for lasting improvements in data accuracy.