# Most organisations that say they’re data-driven are not.
Canonical: https://social-archive.org/tgroenwals/qN2Cz4rDNI
Original URL: https://www.linkedin.com/posts/asadmumtaz_most-organisations-that-say-theyre-data-driven-share-7487767641806266368-JbuI/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAUj9ABA6XwLJ3RcHE4FACjTijtAT4klvY
Author: Asad Mumtaz
Platform: linkedin
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## Content
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: 1. 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. 2. When the data contradicts the instinct, the instinct gets questioned Not explained away. Investigated. 3. 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. 4. 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. 5. 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. 6. "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. 7. 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. 8. Bad news travels upward fast In a genuine data culture, a finding that challenges a strategic assumption reaches leadership quickly. 9. 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. 10. 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.
## Media
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