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Data and analytics innovation : emerging opportunities and challenges /

Material type: BookPublisher: Washington, D.C. : United States Government Accountability Office, 2016.Description: v, 125 p. : ill. ; 29 cm.ISBN: 9781542981866Other title: Emerging opportunities and challenges.Subject(s): Technological innovations -- Social aspects -- United States | Technological innovations -- Finance -- United States | Data mining -- Evaluation -- United States | Information technology -- Management -- United StatesDDC classification: 303.484 DA TA Online resources: Location Map
Summary:
Forum discussions considered the implications of new data-related technologies and developments that are revolutionizing the basic three-step innovation process in the figure below. As massive amounts of varied data become available in many fields, data generation (step 1 in the process) is transformed. Continuing technological advances are bringing more powerful analytics and changing analysis possibilities (step 2 in the process). And approaches to new decision making include intelligent machines that may, for example, guide human decision makers. Additionally, data may be automatically generated on actions taken in response to data analytic results, creating an evaluative feedback loop.
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Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection 		303.484 DA TA (Browse shelf) Available T0056288
Total holds: 0

Title from title screen (viewed on October 4, 2016).
"September 2016."
"Highlights of a forum."

Forum discussions considered the implications of new data-related technologies and developments that are revolutionizing the basic three-step innovation process in the figure below. As massive amounts of varied data become available in many fields, data generation (step 1 in the process) is transformed. Continuing technological advances are bringing more powerful analytics and changing analysis possibilities (step 2 in the process). And approaches to new decision making include intelligent machines that may, for example, guide human decision makers. Additionally, data may be automatically generated on actions taken in response to data analytic results, creating an evaluative feedback loop.

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