Life – and planning in particular – would be so much easier if we knew in advance what was going to happen in the future. Of course, that’s not possible. But with predictive analytics, we come pretty close, at least for our planning questions.

It seems virtually impossible to find a model for our decision-making which takes all details into account. In this episode we demonstrate how data abstraction can help to model a problem, thus making it the core of successful optimization.

A good set of data is the core of every optimization project. But why is so crucial, to use real data already when still implementing the software? Let us share some insights we gained on data during our optimization projects.