Ever moved a Power BI model from development to production and suddenly all your dashboards broke? Connections fail. Reports stop refreshing. The data doesn’t show
You spent months and millions implementing your ERP system… so why are your reports still unreliable? You expected your ERP to give you real-time visibility,
In modern manufacturing, speed is everything. A few minutes of downtime can cost thousands. A single missed alert can delay shipments. And one wrong decision, based on outdated
In modern manufacturing, speed is everything. A few minutes of downtime can cost thousands. A single missed alert can delay shipments. And one wrong decision, based on outdated
Why do manufacturers spend millions on ERP, MES, and BI systems, yet still struggle with downtime and inaccurate forecasts? It’s the paradox facing modern CIOs:
Why Most Manufacturing Analytics Projects Fail Industry research shows 60–70% of BI and analytics projects fail to deliver expected results (Gartner). The reasons are surprisingly
According to Gartner, 70% of AI projects in manufacturing never reach production. That’s not because the algorithms don’t work. It’s because CIOs jump into artificial
Supply-chain disruptions are silently draining millions from manufacturing profits, but the top CIOs know exactly how to stop the leak. Using Power BI for manufacturing,
Why do 80% of BI projects fail? According to Gartner, over 60% of business intelligence (BI) projects fail, primarily due to cost overruns, poor adoption,
It’s Wednesday morning. You walk into the leadership meeting and instantly see which products drive profit, which customers might leave, and which markets are about
