Banks and financial companies have always collected large amounts of data, primarily on customers, deposits, investments, loans, transactions, financial market data, and recently, logs of website clicks and app usage. While some data is highly regulated, it’s still possible to tap into a wide range of analytical-use cases for marketing, risk management, and operations.
We use machine learning and data science to help our clients pinpoint customers who may churn in the nearest future, personalise product and service recommendations, or automatically analyse sentiment in customer reviews.
Suggest the best product via the right channel
Show users what they want to see
Find and retain customers who are about to leave
Automatically monitor customer attitudes and emotions
Automate routine tasks with computer vision
Create your own search engine
Learn more about how the financial industry can get the most value out of big dataRequest the full white paper