Data-driven decision making has different meanings across organizations, leading to varied interpretations and implementations.
In learning organizations, data is used to produce information and enhance organizational knowledge, while non-learning organizations use data to validate existing beliefs.
Practitioners aiming for data-informed decisions need to establish a shared mental model within their team, aligning with existing beliefs to influence decision-making effectively.
When implementing data-driven decisions, it is crucial to understand the origins of beliefs and assumptions within the organization to foster a culture truly informed by data.
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