Episode
S7 | Ep 4 | Why Data & AI Transformation Fails Without Decision Transformation with Peter Everill, Head of Data Product at IAG Loyalty
- Podcast
- Driven by Data: The Podcast
- Published
- Apr 28, 2026
- Duration seconds
- 3184
- Processing state
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Summary
In Episode 4, of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Peter Everill, Head of Data Product at IAG, where they discuss why most organisations still invest heavily in data, analytics and AI capabilities without ever connecting that work to the handful of decisions that truly move business performance. They break down why the future of data transformation is really decision transformation, sharing a practical five-layer framework that links performance visibility, root cause, budget trade-offs, automated decisioning and enterprise optimisation directly to P&L impact, which includes; Why the real purpose of data and AI is not building outputs, but improving the decisions that materially change business performance. How Peter’s career shifted from historical reporting into transforming decisions and workflows that directly influence operating models. Why the biggest capability gap in most organisations is linking technical capability to strategy, commercial priorities and P&L outcomes. How starting with business decisions instead of tools helps avoid the common trap of capability-first transformation. Why stakeholder requests that cannot be tied to action or performance change should rarely make the roadmap. How bottom-up demand creates sprawl, fragmented priorities and lots of activity that never ladders up to enterprise value. What the five decision layers are that connect data transformation directly to P&L impact. Why performance visibility is the first step to stop leadership teams debating numbers instead of making decisions. How root cause analysis becomes the turning point where prioritisation, ownership and commercial focus become clear. Why smarter budget trade-offs matter more than simply asking for more investment.…