Capacities at a university tend to be complex and fairly diffuse. You are a complicated institution, after all. So when it comes to data – and particularly to using data to inform business strategy – it can be difficult to know where to start.
If you’re anything like most institutions, you probably have unimaginable amounts of data stored up in various departments. But data alone is not the same as insight. To make that data actionable, you need a quality framework that solves the complexity problem and drives meaningful outcomes for your institution. That’s why, this week, we’re bringing you a data strategy framework that prioritises developmental outcomes.
Introducing the Value Mode (VM) framework – a conceptual architecture for building data insight into your strategic decision-making. Developed by data consultants John Ladley and Thomas Redman, the value mode framework contextualises data by its outcome potential, allowing you to make smarter decisions about what to do with your resources.