Banking

Banking

Improve 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.