Click here to read the article.This podcasy from AI Coach distinguishes between Data-Driven Decision-Making (DDDM) and Decision Intelligence (DI), explaining that while DDDM uses data to inform specific choices, DI is a broader framework for designing how decisions are made across an organisation. The podcast outlines the processes for both approaches, highlighting that DI incorporates and extends DDDM by focusing on automation, scalability, and learning within decision systems. Key differences in scope, purpose, automation, and tools are presented, alongside examples illustrating their respective roles in real-world scenarios. Ultimately, the article argues that DI represents an evolution, enabling more adaptive and intelligent decision ecosystems by embedding data-driven practices within a systemic approach.

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