Banking

 

Reinventing Banking with Improving Operational Efficiency, Increase Customer Engagement, and Mitigate Risk

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• BDA helps banks use all relent data sources to underpin machine learning models that rapidly generate predictive insights, enhance historical rules-based banking systems, improve critical compliance and operational processes, and transform customer experiences.

• BDA reduces regulatory exposure, risk, and investigation costs by accurately identifying, prioritizing, and reporting suspicious activity.

• BDA uses supervised machine learning algorithms to analyze data from multiple systems to increase accuracy rates in flagging suspicious activity while reducing the number of false positives.

• BDA leverages real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service.

• BDA delivers AI-generated forecasts and scores in real-time using insights from internal and external data sets.

• BDA Identifies globally optimal liquidity positions in real-time to satisfy payment and settlement obligations, and regulatory requirements.

• BDA maintains a comprehensive data view to accurately assess risk while streamlining credit approval.

• BDA correlates all structured and unstructured trading-relevant data and drives contextual analysis to enforce policy compliance.

• BDA improves the profitability of customer mix, lower customer attrition rate, and increase efficiency of retention activities.