Data-driven decision making may vary in interpretation among organizations, where the process of transforming data into meaningful information is crucial. Learning organizations synthesize research data to create organizational knowledge, whereas non-learning organizations may use data solely to justify existing beliefs.
To make informed decisions based on data, practitioners need to establish a shared mental model among decision-makers. Influencing decisions with evidence requires working within the existing beliefs, not against them.
Comparisons between different approaches like Agile and Waterfall are akin to discussions around data-driven decisions. When shifting to new methodologies, it is essential to examine what problems the new approach is solving compared to the previous one.
#data-driven-decision-making #information-synthesis #organizational-knowledge #shared-semantic-environment #informed-decision-making
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