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.

Optimization projects are complex. 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. Let’s see what the first phase is about and what we achieve with it.

Optimization projects are complex and for our customers every optimization project is a journey into unknown territory. That’s why we divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. After we have built a prototype in phase 1 and the Minimum Viable Product in phase 2, now comes the freestyle: all additional wishes and requirements are built in.