Exclusive Report: Solved on Paper but Not in Practice
Why Data Modeling Maturity Often Stalls Before It Scales
This report is based on a survey of 101 data and analytics leaders in Europe on how their organisations approach data modelling, covering tooling, governance, reuse, AI-readiness, challenges, and priorities. It is supplemented by interviews with senior data leaders.
Most conversations about AI readiness focus on models, platforms and talent. Fewer focus on the layer underneath all three, the data modelling work that determines how quickly any of that other investment can turn into usable, trustworthy data.
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