Available data is not usable data. Why the application layer decides whether a data project pays off – and who is allowed to build a view.
The data flows, the project is signed off – and production still uses Excel. Why this gap appears systematically, and where the project boundary sits.
What can the framework do that Inmation cannot? Why the question matters – and which question actually decides it in operations.
When does technology alone stop being enough for a data project in pharma? When systems, context, and adoption all need solving at once.
