BEST PRACTICES: Data Governance & Corporate Reporting
Director, Information Management, Business Intelligence & Analytics, S&P Global
Manager, Data Governance & MDM, Business Intelligence & Analytics, S&P Global
S&P Global Inc. (prior to April 2016 McGraw Hill Financial, Inc., and prior to 2013 The McGraw-Hill Companies) is a publicly traded corporation headquartered in New York City whose primary areas of business are providing credit ratings, benchmarks, analytics and data to the capital and commodity markets worldwide. The Company’s divisions include S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices and S&P Global Platts.
“Corporate reporting” is of vital importance to any large enterprise and S&P Global is no exception. And fundamental to corporate reporting is clean data – especially reference data. S&P’s Corporate Information Management leadership (also owning the BI & Analytics Function) was tasked to developed and execute on a strategy to begin the “master data journey”. Initially, the team focused on HR Data Governance and Reporting to control and monitor actions around the data dictionary, reports, analytics, metrics, reference data, and necessary integrations. Concurrently, the team began to focus on the end goal of a “Corporate Enterprise Data Governance Framework” for S&P Global. At this point, the establishment of a “Governed Data Warehouse for Corporate Management Reporting” has been accomplished via a combination of Collibra, Informatica and Magnitude Software/Noetix subsystems.
Clearly, “integration” among these systems is challenging but critical to the sustainability and success of the Corporate Reporting system. Also on the roadmap is planning for the next generation of cross-functional analytics with the blending of structured and unstructured data while evolving and expanding the use of self-service reporting and analytical tools.
This session will discuss major aspects of such an endeavor by sharing lessons learned regarding topics such as:
- Developing the technical strategy & roadmap for a combined Data Governance:MDM model for controlling, standardizing, securing & managing data – including reference data, meta data & master data
- Driving cross-functional data integration among Operating Companies & Business Functions through a Corporate Data Warehouse
- Partnering with the CDO organization to enable a data-focused culture within Finance, Human Resources, Sales, Marketing, Compliance, & Risk Management functions