Account Opening / Card Issuing

Promote products (eg, accounts, cards) with more relevancy to boost customer acquisition

Predict applicant credit background (see Credit Scoring use case) 

Optimize the customer experience of the digital onboarding process, reducing/stopping digital application abandonment

Make models that confirm the identity of the applicant, adhering to KYC processes and AML regulations

Predict user behavior to preempt the user’s next requirement in the application experience

Real-time credit checks with models that analyze large data sets across many institutions

Accurate Prediction models for churn (customer evasion) phenomenon

Explainable models that enable compliance in identify verification

Increased revenue and customer loyalty with a comprehensive, CX-focused onboarding process

Reduce abandonment rate by 5x (industry expectation) 

Reduce rejection of good customers

Terabytes of data can be used to iterate through modeling quickly

Operationalize diverse and dynamic data sets

Deep learning, GBM algorithms

Predictive models that use neural networks, decision trees, random forest and logistic regression models