Creating tournament schedules seems simple, but in practice it can be quite complex. It’s also a great example of optimization. Learn more about the details and tricks of creating tournament schedules in this episode.

Optimization projects are complex and for our customers, every optimization project is a journey into uncharted territory. How can we make sure, that our projects are going in the right direction? We divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. After the prototype in the last video, let’s see why we have phase 2 for the minimum viable product.

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.