When does technology alone stop being enough for a data project in pharma? When systems, context, and adoption all need solving at once.
How does a single integration project turn into a model that accelerates every one after it? Two use cases from pharmaceutical manufacturing.
What is an Industrial Data Fabric? Not a new system on top, but the layer underneath — and what that delivers.
Why do MES and data projects in pharma fail? The patterns and the early indicators.
How can production data leave the validated plant without putting compliance at risk? GxP — a question of architecture.
Why doesn't more data lead to better decisions in pharma manufacturing? Because it sits in silos without shared context.
When does technology alone stop being enough for a data project in pharma? When systems, context, and adoption all need solving at once.
How does a single integration project turn into a model that accelerates every one after it? Two use cases from pharmaceutical manufacturing.
What is an Industrial Data Fabric? Not a new system on top, but the layer underneath — and what that delivers.
Why do MES and data projects in pharma fail? The patterns and the early indicators.
How can production data leave the validated plant without putting compliance at risk? GxP — a question of architecture.
Why doesn't more data lead to better decisions in pharma manufacturing? Because it sits in silos without shared context.
KLTs, trays, magazines – often running in parallel. Alfred Pammer explains how to standardize carrier logistics despite format variety.
How do production data from MES, ERP and IoT come together? An industrial data fabric connects the systems, breaks down silos and creates one data basis.
How can permit-to-work processes be digitized while staying compliant? A validated digital system maps ATEX, GxP and eIDAS requirements for regulated plants.
