The intersection between vast amounts of data and modern technologies around which many capital market firms have refashioned their business models is also challenging traditional data governance concepts and supervisory systems.
Goals and Objectives
Realize improved operational efficiency and resiliency by cultivating a modern control environment where data and process management systems identify and monitor situations and relationships that may present a violation of current data governance standards.
Cloud, advanced analytics, and application management platforms
Use Case Summary
The modern data management life cycle presents a host of potential data governance issues. Leverage technology to align the people, processes, and systems that constitute a robust data governance framework.