Data Integrity Management
Ensuring data remains accurate, consistent, and trustworthy throughout its lifecycle across systems and processes.
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Why It Matters
AI models are only as good as their training data, making data integrity professionals who can establish validation rules, lineage tracking, and quality controls foundational to every AI initiative.
How to Get Started
Study the DAMA-DMBOK framework, learn data quality tools like Great Expectations or Informatica, and pursue the CDMP (Certified Data Management Professional) certification.
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