Behavioral Data is increasingly being used as part of the credit scoring process. Traditional methods of assessing creditworthiness, such as income and credit history, are now being supplemented with data that paints a more comprehensive picture of an individual's creditworthiness.

This type of data includes information such as the length of time someone has been at their current job, their spending habits, and other lifestyle choices. By taking into account this additional data, lenders are able to assess an individual’s creditworthiness more accurately.

The use of behavioral data has been beneficial to lenders as it has resulted in a decrease in the number of defaults and an increase in the number of successful loan applications. It has also enabled lenders to provide more tailored products and services to their customers.

Behavioral data is playing an important role in the credit scoring process and is likely to become even more prominent in the future. #CreditScoring #DataAnalysis #BehavioralData

On the 14th September 2017, we held a meetup in Berlin regarding the topic of AI in Data Science. It was so popular that we had to change venues last minute to accommodate all the attendees!

We had Luba Weissmann and Sebastien Foucard speak to the audience about how AI and Machine Learning are transforming our daily lives and how they'll shape our future.

Keep up with our future global events surrounding all tech topics, by visiting our events page: [ Ссылка ]

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