"We have over 50 predictive models which, before having Celebrus data, were based on transactional and payment insights. Enriching this with Celebrus data has significantly improved the accuracy of the models from 75% to 93%."
"Moving away from a tag-based structure simplifies experience delivery and reduces lost data due to broken code and regressions unintentionally introduced by other changes. The bank spent thousands of hours every year on this which translates to millions of dollars in cost."
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