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Customer: Financial Company
Location: LATAM
Industry: Financial

Challenge

A Bank with a portfolio of 90,000 commercial clients requires identifying and predicting in the most accurate and reliable way the financial situation and credit risk of each of the clients with bank loans, as well as having a general overview of the health of its client portfolio.

Solution

Application of our Intellectum® framework for the collection, editing, storage and processing of Big Data. Identification and application of different predictive models for the identification of weight variables and Default prediction. Results are uploaded to our Dashboard for the risks analysts to review.

Results

A Logistic Regression Model with an accuracy of 97.4% was used for the prediction of the variable “default” on a rolling three month. Using data from the Financial Statements of each of the Bank’s clients and macroeconomic data of the country. Predictive analysis allows the Bank to identify risks of a client falling into default. Intellectum’s creates business value and helps the bank to offer new financial products to these companies so that they can meet their credit obligations.

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