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Another powerful clip from our Data Quality Module session. In this segment, I broke down why every organisation needs clearly defined data quality dimensions and standards to ensure data is fit for purpose the first time and every time. When your data quality approach is proactive rather than reactive, you eliminate the constant “data analysis before every decision” cycle. This doesn’t just improve trust — it saves money, reduces reliance on Data Analysts for basic validation, and drives true o
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Another powerful clip from our Data Quality Module session. In this se…
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Michigan Online
Michigan Online
May 22, 2022
umich.edu
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