Most organisations that say they’re data-driven are not.
Most organisations that say they’re data-driven are not.
They’re data-aware. At best.
✅ 10 signs that separate the real thing from the performance:
- Leaders change decisions because of data
Not just cite data to support decisions already made. Data that changes a direction is culture. Data that decorates one already set is not.
- When the data contradicts the instinct, the instinct gets questioned
Not explained away. Investigated.
- People closest to the data have a path to the decision-makers
Analysis that cannot reach the room where decisions happen is not part of the culture.
- Data quality is treated as a business problem
If the response to bad data is "raise a ticket," the business has handed the problem to a function that cannot fix the root cause.
- Definitions are agreed before the analysis starts
The most expensive data debates happen after a report is published. Real data cultures settle definitions before the work begins.
- "Let me check the data" is a routine sentence in meetings
Not a dramatic intervention. A normal sentence. If it is unusual, the culture is not there yet.
- The data team is brought into decisions, not handed conclusions to validate
Being brought in to support a decision already made is not a data culture.
- Bad news travels upward fast
In a genuine data culture, a finding that challenges a strategic assumption reaches leadership quickly.
- People can name a decision that changed because of data in the last 90 days
Not one supported by data. One changed by it. If nobody can name one, the culture is aspirational.
- Data investment is treated as ongoing operations
Projects end. Cultures do not.
Treating data as a series of initiatives builds data sprints, not a data culture.
Most organisations are somewhere on the path.
Knowing where you are is the prerequisite for knowing what to build next.