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Abstract
The digital infrastructure of the smart grid is changing the nature of the power industry, and advanced analytics are the lever to realize the benefits of this intelligent structure. Traditional approaches to data management and to managing data truth in the enterprise fall short, where new software approaches can bring success. This chapter discusses the challenges of creating a highly scalable, easily managed, secure foundation for data management, and it explores techniques that can drive the transformation necessary to meet society’s energy demands with a modernized grid.
Notes
2. Jeffrey Taft, P., Martini, P. De, & Prellwitz, L. von. (2012). Utility Data Management & Intelligence: A Strategic Framework for Capturing Value from Data. Cisco Systems, Inc. Retrieved October 04, 2013, from http://www.cisco.com/web/strategy/docs/energy/managing_utility_data_intelligence.pdf
3. “Stephen Colbert Has America by the Ballots” (n.d.), New York Magazine. Retrieved 8 October 2013, from http://nymag.com/news/politics/22322/index1.html
4. John Furrier, “Google Engineer Accidently Shares His Internal Memo About Google+ Platform,” SiliconANGLE. Retrieved from http://siliconangle.com/furrier/2011/10/12/google-engineer-accidently-shares-his-internal-memo-about-google-platform
Additional information
Notes on contributors
Carol L. Stimmel
Carol L. Stimmel, the founder of Manifest Mind, has 25 years in emerging technology markets including operations, research and analysis, and product design. She is a frequent speaker and author of “Building Smart Cities: Analytics, ICT, and Design Thinking” (2015), “Big Data Analytics Strategies for the Smart Grid” (2014), and “The Manager Pool” (Olson & Stimmel, 2001). A frequent speaker and sought after analyst, she holds several key technology patents with myriad co-inventors, with several pending including a design for an autonomic computing system for distributed generation management, and energy benchmarking. She can be reached at [email protected].