From Data Quality Monitoring to Successful Data Governance
"Why do some AI transformations thrive while others stumble? The secret lies in the maturity of their Data Governance."
This article dives deep into the international DAMA framework, using a "chef’s ingredient management" analogy to demystify data quality. We break down the three core procedures and six dimensions of data quantification. More importantly, we expose the common pitfalls—where enterprises misalign metrics and lose sight of their goals—helping you turn data value into tangible bottom-line results.