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bankinG

The importance of predictive analysis on the dynamics of bank

Data Intelligence with predictive analytics and machine learning

What could the benefits be?

Improve performance

Reduce risks

Customer satisfaction

The digital transformation is clearly changing the banking sector 

Predictive analysis is at the service of finance to identify products and services tailored to the specific needs and individual history of the customer. We use data analysis to get a comprehensive overview to make better business decisions and present customers with more interesting and customized offers.

The evolution of the financial market moves with a very high number of variables that interact even in a non-predefinable way.

In this sector connections and correspondences are created and unravel in a very short time, so as to make it difficult to monitor them with classic methods.

Farrago operates within these areas by introducing new approaches, methods and technological tools through Machine Learning, providing the customer with its own predictive model. What will be the next product to offer to a specific group of customers? Via which channel? Which banking branch will get the best performance? Which customers are thinking of “betraying us” with the competition? This is the kind of question to which the answer can be given with a deep analysis, identifying patterns (models) and correlations between the data, even among the unstructured ones.

Use AI and Machine learning to provide predictive intellIgence to your business

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