March 11, 2014
Bureau of Labor Statistics
Sandra “San” Cannon
"Moving beyond research: building an enterprise data service from a research foundation"
Data play a critical role in fulfilling the Federal Reserve Board’s mission across a broad range of functions, including monetary policy, financial stability, supervision, consumer protection, and economic research. The current data environment was designed to allow business lines to manage relatively small and predictable data sets that required limited sharing across silos. The Office of the Chief Data Officer was created in May 2013 to address the data needs of the Board, post-financial crisis, with an enterprise focus and a clear set of mandates to enhance data governance, data management, and data integration. The OCDO started operations with a small staff of data management professionals who traditionally supported the research function and now must shift gears to provide data services to a broader base of users and a wider range of analytical work. New infrastructures, programs, processes and staffing are being developed and deployed to ensure that data needs across the lifecycle are met and that a variety of analytical approaches can be supported.
San Cannon is Deputy Chief Data Officer at the Federal Reserve Board. Her office is responsible for the Board’s data governance program and she oversees the enterprise information management services provided by OCDO staff including data and metadata management, strategic metadata and taxonomy development, and data movement, integration, and dissemination. San is active in the international data community, especially the academic and central banking spheres, and works closely with US statistical and regulatory agencies on data and metadata issues. She has presented and published on topics that include metadata standards, copyright and licensing issues, and data dissemination challenges. San holds a B.S. in Economics from the University of California, Irvine, an M. Sc. in Economics from the London School of Economics, and a Ph. D. in Economics from the University of Wisconsin, Madison.
"Meaningful Intelligent Information Insight"
Imagine a world where a conversation with your information drives intelligent business decisions. Imagine that your information is moving at unimaginable speeds in data realms never considered before. Such is the world what we live in today. It is where we compete for business, compete for customer mindshare, compete for capital to invest and even for the time of others in our hectic lives. Its no longer sufficient to analyze the unprecedented volume of data being generated directly by one's business activity. This same data often needs to be considered in ombination with other sources from social media, government, industry and professional groups. The tools and techniques to enable these conversations are rapidly evolving into a new ecosystem being used by the most competitive players in the market.
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Last update was
January 25, 2014