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Predictive Analytics Group

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  Challenge: A large client in the US credit card market was not getting the performance on its forecasted portfolio roll and delinquency rates.  Most of its booked account vintages were underperforming, which was restricting how fast it could grow its portfolio. The client wanted to improve performance, reduce operating costs, and ultimately lower charge-off rates....

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Challenge: An investment company was considering purchasing multiple portfolios within two lines of business and needed help with due diligence, particularly to validate pricing to ensure the investment met its expectations. Limited historical data was available due to the age of the product, and the investment company lacked the datasets to build a sufficient model to gauge ...

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When your CFO, CRO, and Head of Commercial Lending cite three different numbers for the same question, you don't have a people problem. You have a data silo problem. Learn why fragmented data costs banks credibility, speed, and competitive advantage, and how consolidation creates a single source of truth that transforms decision-making.

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Credit card fraud just got exponentially harder to detect. While financial institutions update rule-based systems quarterly, criminals deploy AI that adapts in real time, creates synthetic identities at scale, and mimics legitimate customer behavior with surgical precision. AI-powered fraud attempts have increased tenfold in the past year, with GenAI potentially costing finan...

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