WITH PREDICTIVE ANALYTIC
A logistic operator specialized in transportation of highly valuable materials looked for ways to quickly expand their business. While very strong in three Belgian provinces, they were not very active in the rest of Belgium.
The analytical dataset used to create the TIMi model had 3684 variables and 836012 rows. The models built had a very high accuracy and allowed the company to focus their efforts on less than 5% of the total population, to reach over 60% of its potential market.