Data Scientists At Work - Use Case: Captive Finance Company
What does a Data Scientist do?
Data Scientists focus on the collection, modelling and interpreting of company data. They help organizations reach better conclusions and make better decisions as a result of this data.
Data Science at a Captive Finance Company
One of our data scientists, Lieven, was working as a consultant at a company which is part of a truck-building group. While the truck-builder is responsible for the manufacturing and selling of the trucks, the financial department is responsible for the customers’ possible finance models (e.g. leasing contracts) for their newly bought trucks. The arrival of sensors and telematics in the trucks, on the one hand, and the customer management systems on the other, result in an exponentially growing mountain of data, the information from which can be gathered also becoming increasing relevant.
The data science team help companies reach better conclusions and make better decisions as a result of 'smart data'.
In partnership with CANGURU, this mountain of data has been mined to gather new insights and is used to design new business models. Consider, for example:
The automatic quality classification of trucks at the end of their leasing agreement, so that the sales possibilities can be adapted as necessary
The mileage at the end of the leasing agreement, which is one of the most important factors to impact second-hand sales conditions in the market. The ability to forecast these, provides the financial teams with a clear competitive advantage
The ability to build up a full customer profile thanks to the combination of telematics, contract and customer data. For example, the way in which a customer handles his fleet is indicative of their financial position
CANGURU is a young and innovative consulting company based in Mechelen. The data science team helps companies reach better conclusions and make better decisions as a result of “smart data”. We implement the right tools to gather and compile qualitative data. We subsequently bring this information into the light which should help the company take the correct decisions.
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