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Why does analytics so often fail to influence decisions — even when the work is “correct”? In this Techerati interview with Rebecca Uffindell, Chris Beeley, Head of Data Science at the Strategy Unit (NHS Midlands & Lancashire CSU) explains why healthcare analytics has renewed urgency around operational forecasting, and what it takes to build data products that actually stick with NHS users. We cover: Why the urgency for forecasting and data-driven decisions is rising (and why it’s also “always been there”) How better tooling and communities — including the growth of R in the NHS — are changing capability Why reproducibility and transparency struggle at scale: fear, risk aversion, and “not a priority” The role of open code, community learning, and normalising imperfect work (“show your homework”) Why trust is sacred in healthcare data — and how easily it can be lost The biggest adoption lesson: stop delivering “correct answers” and start designing for real users Why people don’t want equations — they want decisions, clarity, and solutions Moving from prototypes and demos to production: “Don’t sell data science. Sell a solution.”