Data
Why organisations should stop treating data as an IT problem
If data only becomes a priority when a report is late, the organisation does not have a data function. It has an extraction habit.
6 min read
Data
If data only becomes a priority when a report is late, the organisation does not have a data function. It has an extraction habit.
6 min read
Most organisations do not have a data problem in the way they think they do. They have an ownership problem that shows up as a data problem. When a number is wrong, late or contested, the conversation goes to IT. The dashboard is blamed. The warehouse is blamed. A new tool is proposed. The underlying question—who is accountable for this definition, this source, this decision—is left untouched.
IT can provide platforms, access, backups and pipelines. It cannot decide what ‘active farmer’, ‘resolved ticket’ or ‘compliant staff member’ means. Those definitions belong to the people who run the process. When they are informal, every extract becomes a negotiation. When they are documented and owned, reporting becomes a by-product of operations rather than a separate industry.
The shift is practical. Name the decisions that matter. Name the objects those decisions depend on. Assign an owner for each definition. Then ask technology to make that model durable. Dashboards, warehouses and AI initiatives all fail in the same way when this work is skipped: they amplify confusion at higher speed.
Data becomes useful when it is treated as part of how the organisation works—not as a service ticket raised when someone needs a number for a meeting.
This article is a starting point. The page structure is ready for a longer, fully edited version later.
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