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Data and analytics innovation : emerging opportunities and challenges / Government Accountability Office, United States.=

Material type: TextTextPublication details: Washington, D.C. : United States Government Accountability Office, 2016.Description: v, 125 p. : ill. ; 29 cmISBN:
  • 9781542981866
Other title:
  • Emerging opportunities and challenges
Subject(s): DDC classification:
  • 303.484 DA TA
Online resources: 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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Holdings
Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 303.484 DA TA (Browse shelf(Opens below)) Available T0056288

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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