000 | 01709nam a2200217 4500 | ||
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_c31234 _d31234 |
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020 | _a9781542981866 | ||
082 | _a303.484 DA TA | ||
245 |
_aData and analytics innovation : _bemerging opportunities and challenges / _cGovernment Accountability Office, United States.= |
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246 | _aEmerging opportunities and challenges | ||
260 |
_aWashington, D.C. : _bUnited States Government Accountability Office, _c2016. |
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300 |
_av, 125 p. : _bill. ; _c29 cm. |
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500 | _aTitle from title screen (viewed on October 4, 2016). "September 2016." "Highlights of a forum." | ||
520 | _aForum 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. | ||
650 |
_aTechnological innovations _vSocial aspects _xUnited States _94231 |
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650 |
_aTechnological innovations _vFinance _xUnited States _94232 |
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650 |
_aData mining _vEvaluation _xUnited States _94233 |
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650 |
_aInformation technology _vManagement _xUnited States _94234 |
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856 |
_uhttps://uowd.box.com/s/hr2kmthkd4epqcao1tdrww6n0qpur9lb _zLocation Map |