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Other recommendations include taking an inventory of data assets, an assessment of a deployment entry point based on current agency capabilities, and an evaluation of which data assets can be opened to the public in order to spur innovation.
Policy considerations include a formal career track for line-of-business and IT managers relating to Big Data management, establishment of a broader coalition with industry and academia, an expansion of national R&D strategy to encourage development of new techniques and tools, and further guidance on applying privacy and data protection practices.
The foundation's Big Data Commission, which generated the report, consisted of appointed commissioners from academia and industry, including representatives from IBM, Western Governors University, Amazon Web Services, SAP, MicroStrategy, EMC, Splunk, Dell and Microsoft . The foundation is the nonprofit arm of TechAmerica, an industry group.
Posted: 2012-10-04 @ 7:14am PT
Enjoyed the piece Barry. Great to see the industry finally adopting the "Vs" of Big Data that Gartner first introduced over 12 years ago. For future attribution, here's a link to the piece I wrote first publicly defining them in 2001: http://blogs.gartner.com/doug-laney/deja-vvvue-others-claiming-gartners-volume-velocity-variety-construct-for-big-data/. Note that you mention 5Vs, but only discuss 4. ??? Anyway, we contend veracity isn't a defining characteristic of Big Data, just an aggregate measure of quality. Note that Gartner has now suggested and published on 12 dimensions of data. --Doug Laney, VP Research, Gartner, @doug_laney