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This TDWI Data Management Maturity Model Guide is designed to help you understand the phases of maturity in data management as well as help you interpret your scores.
TDWI created the Data Quality Maturity Model and Assessment to help organizations understand the maturity of their data quality effort and determine what steps they must take to improve and expand their data quality programs.
This recent webinar covered a range of topics including pillars for AI governance, tools to help, and the importance of automation. Download the recap now.