Tim Swan

The financial crisis brought awareness of data management to financial firms and regulatory bodies alike. New initiatives stemming from Dodd-Frank and BCBS 239 mobilized many firms to focus on best practices to try to “get their data management house in order”. Good progress has been made, but a lot of work still remains.

In this session, panelists will discuss the progress achieved, and the next steps that the industry is heading towards. Hear practitioners discuss their use of industry best-practice models, describe their experiences using the newly evolving data ontology standards, and get a glimpse into the next areas of regulatory focus. Hear how the industry is gathering together to dive into the defined data management capabilities to create a repository of playbooks – describing the “how” of data management, in a continuing effort to document and improve data management for the industry.

After setting the roadmap, launching the program, establishing stewardship and working on data quality, how do you maintain your program at a steady pace? What happens when you have a stable first year and something happens to affect the second year roadmap? Two data leaders will sit down to compare notes and share lessons learned on the journey.
Executives will explore:
• Addressing culture change as you progress the program
• Complying with constantly shifting regulations, coupled with internal and external demands
• Keeping up with goals and working on value added activities

Fixing data quality is the plumbing of a huge skyscraper, it cannot be fixed overnight. After building in metadata, terms and definitions, the next phase is a strong framework around data quality that can be continuously monitored.
Find out how to:
• Develop metrics to measure and prove data quality while reducing redundancy
• Quickly get up the data quality curve if you’re behind
• Balance data quality activities with new opportunities, including advanced analytics