Most manufacturers build their data warehouse the way they build their org chart — in silos. Operations gets its schema. Finance gets its schema. And somewhere in between, the CFO and the plant manager spend forty-five minutes on a call arguing about why the production cost numbers don’t match.
Data Warehouse vs. Data Lake vs. Lakehouse: Which Is Right for Your Manufacturing Operation
Every manufacturer sitting on years of production data has faced some version of the same question: where does all of this actually live, and what can we do with it? The answer used to be simple — you bought a database, you stored your numbers, you ran your reports. But as manufacturing operations have grown more instrumented, more connected, and more analytically ambitious, the architecture question has gotten considerably harder.
The Manufacturing Data Stack Explained: From Shop Floor Sensor to Executive Dashboard
Walk into a modern production facility and you will find sensors on every machine, PLCs logging every cycle, and SCADA systems capturing temperatures, pressures, cycle counts, and throughput rates by the second. Walk into the executive suite of that same facility and you may find someone manually compiling a weekly OEE spreadsheet from three different systems.
