At Knoyd we are constantly trying to help our clients leverage data, predict the future or, put simply, be smart. This year, two of our important customers came from the banking sector so we have decided to share our experience and explain how their businesses have become smarter.

Working as Data Scientists, we have to solve various problems on a daily basis. Some of them are tasks we've completed many times before and some of them are completely new to us and we have to understand the business logic behind them before starting building models. The latter was the case when our client, a bank, approached us a couple of months ago with a problem they were tackling – whether to provide or deny loans to gamblers.

In this month's blog post, we are going to share a case study based on a project we did for one of our clients – a Slovak bank.

By now, most financial institutions have been familiar with data analysis for some time. One use case for examples is credit scoring. Money lenders, such as banks and credit card companies, have been using it for a couple of decades now to evaluate the risk of lending money to consumers and to mitigate losses. However, the recent arrival of new technologies and the rise of machine learning and Data Science brought along many new opportunities.

It always gives us great pleasure to see, when one of our clients gets recognition for the great work they are doing. It is even better, if they are enabling people from developing countries to do things, which were not possible only a little while ago. This is exactly what FinAccel is doing.