DATA GOVERNANCE & DATA QUALITY
Thoughts on common data challenges: structure, quality, ownership and trust.
Different sources, definitions and reporting views often create different answers to the same business question.
The issue is not always the report. It is often the lack of aligned definitions, ownership and clear data flow.
Trust starts when people understand what the data means, where it comes from and who is responsible for it.
Data quality issues often repeat when they are treated as one-time fixes instead of process and ownership issues.
Quality becomes manageable when issues are visible, rules are clear and responsibilities are understood.
Better data quality comes from prevention, monitoring and accountability — not only from correction.
When ownership is unclear, data problems move between teams without clear responsibility.
Data needs business ownership, clear responsibilities and practical rules that people understand.
Data becomes more reliable when responsibility becomes visible.
For more practical thoughts on Data Governance and trusted business data, visit the blog.
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