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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This morning, I took our January North America cohort deep into the Data Quality Module — and a mentee asked a critical question. I answered it. But more importantly, I corrected a dangerous misconception that is quietly damaging careers in data. Let me be clear. ❌ Data Governance is NOT a standalone skill. ❌ Data Quality is NOT a tool. ❌ And any curriculum that teaches fragments is adulterated and not fit for purpose. Yes, many fresh entrants to the field are eager — they are my STUDENTS too —
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