Your factory generates 10,000 data points a day. Your decisions are still based on yesterday's report and a gut feeling. That's not a technology problem. It's a data strategy problem. Most manufacturers I work with have dashboards that show what happened (not what's about to happen), data locked in SAP that nobody outside IT can query, and weekly reports that take 3 days to build and are stale before they land. The shift: from reactive reporting to real-time operational intelligence.
#Manufacturing
#DataStrategy
#DigitalTransformation
#MicrosoftFabric
Route planners, sales reps, merchandisers. What happens when BI talks back? Real-time analytics at the edge change everything. No more waiting for daily reports or weekly updates. Routes are optimised instantly. Sales reps see what's working in the moment. Merchandisers get live data on shelf availability. It's not about data anymore — it's about action. BI at the edge shifts power to those on the ground. If you're not using real-time insights, you're flying blind.
#FMCG
#SupplyChain
#RealTimeAnalytics
#DistributionIntelligence
Most companies think Microsoft Fabric is just Power BI Premium with a new name. It isn't. Not even close. Fabric is a unified analytics platform — one lake, one governance layer, every engine you need in one place. Mirroring: Zero-ETL from your ERP right into OneLake, no more fragile pipelines. Translytical Analytics: query operational data analytically, almost in real time. Real-Time Intelligence: full streaming stack built in. Fabric Data Agent: AI that reads your real data and answers business questions.
#MicrosoftFabric
#DataPlatform
#OneLake
#AI
Today's CXOs are more AI-savvy than ever. They've tested ChatGPT, Copilot, Gemini. They talk about RAG, agents, fine-tuning in meetings. And yet every time they ask AI a business question, the result is underwhelming. They blame the tool. But here's the truth: the problem isn't the AI. It's the data underneath it. You can put the smartest model on top of fragmented ERPs, Excel sheets on someone's laptop, and seven different definitions of revenue — and it will still disappoint you.
#AI
#CXO
#DataStrategy
#DigitalTransformation
Every time you change an SKU, you risk exposing your data silos. In high-mix manufacturing and packing lines, complexity is your enemy. Different SKUs mean different data sources, formats, and systems. Without a unified data platform, this chaos creates gaps — silos hide issues until it's too late and distort the true picture of operations. A centralised, unified data approach connects every piece of information in real time and gives operations leaders a clear, accurate view of everything on the floor.
#FMCG
#Manufacturing
#DataQuality
#UnifiedData
Every plant has sensors, SAP, and walls of dashboards. So why does every meeting start with "Which number do we trust?" Not a tech problem. A strategy problem. Most companies throw tools at fragmented data. The result: dashboards no one trusts, AI pilots that stall, operations quietly ignoring the systems. One FMCG client, four plants — after unifying the data layer: reporting cut from 3 days to 4 hours, forecast accuracy up 18%, safety stock down 12% with no extra stockouts. Foundation first.
#Manufacturing
#SAP
#DataPlatform
#FMCG
