Specifically, a churn score is calculated for each individual customer that Kapacity’s Data Scientist sends into Alumeco’s Data Warehouse. Anne Stenz Jørgensen then pulls it to Alumeco’s front-end tool Targit, where she can pair it with different measures and dimensions.
“When we pair the churn percentage with our BI, it gives us an overview of which customers it makes sense to contact. Because some customers are more important than others, and here we have good historical data which makes us able to see what we get from the value of our customers over time,” she says.
The next step for Alumeco is to build visual reporting around churn prediction. They will then look at expanding the scope to include even more customers in several countries. Anne Stenz Jørgensen has been happy with the process:
“It’s a pleasure to have to do so little. Kapacity’s Data Scientist has been incredibly self-propelled but has also updated us regularly with status meetings, which have made us able to follow what is happening and get it integrated into our current setup.”