Current Situation
Banks have failed to see decisioning as an enterprisewide capability. This leads to disconnected customer experience, uneven business execution, and inefficient use of data and analytics resources.
Goals and Objectives
Create an enterprise intelligence architecture that recognizes and reconciles data sources from both internal and external platforms to make decisions faster and contextual across the entire institution while maintaining risk objectives.
Technology Deployed
Alternative data services, artificial intelligence, machine learning platforms, Big Data, cloud
Use Case Summary
Enterprise intelligence as a data/analytics strategy needs to fundamentally change to recover lost business opportunities, improve customer satisfaction, improve resource efficiency, and improve security, risk, and compliance.