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Banking & Insurance
Leverage the use of data analytics and AI to improve customer experience and retention, increase up-and product cross-selling, reduce risks and operational costs.
The finance sector was naturally one of the first to identify the potential of big data and modern ways of using it. This isn’t too surprising: Banking and insurance were always involved in predictions to make better investments, calculate risk and gain a competitive advantage. They also have access to a lot of data - from market metrics to transaction data and detailed customer profiles - and often the workforce, technology and culture to make use of the data. The following projects are common in the industry and we have already done variants of many of them:
Real-time market forecast
For inspiration, feel free to browse through some of the highlighted case studies below.
Related Case Studies
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