Capital markets firms have been challenged to realize a level of operational transparency, which would allow them to proactively respond to changing operational circumstances. The resulting managerial reactivity represents a competitive challenge to firms competing to be agile and innovative.
Goals and Objectives
Realize improved operational risk management capabilities by leveraging automation and pattern recognition technologies to deliver on-demand transparency into operations.
Cloud, advanced analytics, and artificial intelligence
Use Case Summary
A lack of transparency into complicated operating environments is a major source of risk to capital markets operators. The adoption of technology capable of synthesizing large amounts of complicated operations data enables managers to make strategic decisions in a timely manner.