S2:E7
Data Engineering Meets Excel: Building Explainable and Reliable Decision Models with River Solutions
Data Platform
32 min
Host
Kris PeetersGuest
AAAmaury Anciaux
Kris Peeters sits down with Amaury Anciaux, founder of River Solutions, to tackle a painful reality for data leaders: critical decisions still depend on fragile Excel models.
They explore why Excel won’t disappear, how River turns spreadsheets into visual, explainable and reliable decision models, and what happens when you bring data quality checks, testing and documentation into the analyst workflow.
🎧 Listen to more episodes of The Data Playbook for real-world stories on data platforms, GenAI, data products and cloud independence from Europe’s leading data practitioners and leaders.
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What you'll see
- ▸Why 99% of models in organisations are still built in Excel
- ▸Silent errors, risk, and the real cost of debugging formulas
- ▸Visual flow-based modelling and model maps inside Excel
- ▸Built-in checks for missing data, duplicates and broken lookups
- ▸How AI copilots helped build River, and why AI won’t replace transparent models
- ▸The evolving role of analysts and managers in data-driven decisions
Tags
Excel ModernizationDecision ModelsData QualityRiver SolutionsExplainabilityAnalyst WorkflowThe Data Playbook
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Technologies
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Additional material
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