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