Wine businesses are full of polished DTC dashboards and dead cellar ones. This 3-part series is about that gap — process intelligence: analytics built around the winemaking process itself, in the units, vintage time and KPIs the trade actually uses. It covers what the four classic types of analytics mean in winemaking language, why skilled Power BI developers still build dashboards the cellar abandons, and what changes when oenological knowledge and BI engineering live in the same head.
No hype, as always. Where the tools genuinely help, I’ll show you. Where the failure is human and organisational, I’ll show you that too.
The series
- Descriptive, Diagnostic, Predictive, Prescriptive: The Four Analytics in a Winery — the analytics ladder in Brix, ferment and barrel language, and where Microsoft Fabric’s lakehouse, real-time intelligence and Direct Lake actually fit.
- Why Power BI Dashboards Die in Wineries: The Domain Gap — units that bite, missing lot genealogy, KPIs that don’t match the trade, and why one wrong number kills trust for good.
- The Translator: When the Winemaker Is Also the Power BI Developer — what changes when one person has stood on the crush pad and also writes the DAX, and the honest limits of being one.
Read them in order — each builds on the last. Every post in the series is tagged #process-intelligence.
This is the wine companion to the Process Intelligence for Distilleries series — same argument, spirits edition. For the full wine catalogue, see the Winemaking & AI track.