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.

As promised, we don’t settle for regular heuristics: we make them meta! We explain what that means and how it works in our new episode.

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.