Business Situation

The client wanted to design a data model that could be used to analyze the behavior of the current customers of the bank, to identify customers who may give up using the bank’s products by preferring another bank and to decide on the actions to be taken to retain the customer in a timely manner. The concept of Churn Analytics has become a very important issue for the sector, where the competition is at a high level and in terms of satisfying the existing customer and establishing long-term customer relations rather than aiming to gain new customers.

Our Approach & Solution

During the project, working collaboratively with project team was crucial. We understood the variables in the Churn Data Model on SAS and determined the needs accordingly. In this way, we created datamarts that feed the Churn Data Model. We worked with agile project management and closely followed the progress through daily diaries and weekly status meetings. In this way, the requested variables were delivered without errors in accordance with the planned schedule.

Technologies

Dynamic stored procedures using Microsoft SQL Server Management Studio for data integration and feeding data model.