000 | 04746nam a2200649 i 4500 | ||
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001 | 11135852 | ||
003 | CaPaEBR | ||
005 | 20241023114843.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 160118s2016 nyu foab 001 0 eng d | ||
020 |
_a9781631572234 _qe-book |
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035 | _a(OCoLC)935736421 | ||
035 | _a(CaBNVSL)swl00406097 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 | _aTK5105.5828 | |
100 | 1 |
_aKaisler, Stephen H. _q(Stephen Hendrick), _eauthor. |
|
245 | 1 | 0 |
_aObtaining value from big data for service delivery / _cStephen H. Kaisler, Frank Armour, J. Alberto Espinosa, and William H. Money. |
250 | _aFirst edition. | ||
264 | 1 |
_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2016.] |
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300 | _a1 online resource (xxi, 176 pages) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_adata file _2rda |
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490 | 1 |
_aService systems and innovations in business and society collection, _x2326-2699 |
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504 | _aIncludes bibliographical references (pages 161-168) and index. | ||
505 | 0 |
_a1. Introduction -- _t2. Applications of big data to service delivery -- _t3. Analyzing big data for successful results -- _t4. Big data infrastructure, a technical architecture overview -- _t5. Building an effective big data organization -- _t6. Issues and challenges in big data and analytics -- _t7. Conclusion: capturing the value of big data projects -- _tAppendix A. Methods-based analytics taxonomy -- _tReferences -- _tFurther reading -- _tGlossary -- _tIndex. |
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506 | _aAccess restricted to authorized users and institutions. | ||
520 | 3 | _aBig data is an emerging phenomenon that has enormous implications and impacts upon business strategy, profitability, and process improvements. All service systems generate big data these days, especially human-centered service systems such as government (including cities), healthcare, education, retail, finance, and so on. It has been characterized as the collection, analysis and use of data characterized by the five Vs: volume, velocity, variety, veracity, and value (of data). As the plethora of data sources grows from sensors, social media, and electronic transactions, new methods for collecting or acquiring, integrating, processing, analyzing, understanding, and visualizing data to provide actionable information and support integrated and timely senior and executive decision-making are required. The discipline of applying analytic processes to find and combine new sources of data and extract hidden crucial decision-making information from the oceans of data is rapidly developing, but requires expertise to apply in ways that will yield useful, actionable results for service organizations. Many service-oriented organizations that are just beginning to invest in big data collection, storage, and analysis need to address the numerous issues and challenges that abound--technological, managerial, and legal. Other organizations that have begun to use new data tools and techniques must keep up with the rapidly changing and snowballing work in the field. This booklet will help middle, senior, and executive managers to understand what big data is; how to recognize, collect, process, and analyze it; how to store and manage it; how to obtain useful information from it; and how to assess its contribution to operational, tactical, and strategic decision-making in service-oriented organizations. | |
530 |
_a2 _ub |
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530 | _aAlso available in printing. | ||
538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat reader. | ||
588 | _aTitle from PDF title page (viewed on January 18, 2016). | ||
650 | 0 | _aService-oriented architecture (Computer science) | |
650 | 0 | _aBig data. | |
653 | _aanalytic science | ||
653 | _aBig Data | ||
653 | _abusiness analytics | ||
653 | _abusiness intelligence | ||
653 | _adata science | ||
653 | _adescriptive analytics | ||
653 | _aenterprise architecture | ||
653 | _aNoSQL | ||
653 | _apredictive analytics | ||
653 | _aservice delivery | ||
653 | _aservice-oriented architecture | ||
655 | 0 | _a[genre] | |
700 | 1 |
_aArmour, Frank., _eauthor. |
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700 | 1 |
_aEspinosa, J. Alberto., _eauthor. |
|
700 | 1 |
_aMoney, William H., _eauthor. |
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776 | 0 | 8 |
_iPrint version: _z9781631572227 |
830 | 0 |
_aService systems and innovations in business and society collection. _x2326-2699 |
|
856 | 4 | 0 | _uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000448.html |
942 |
_2lcc _bCIU _cOB _eBEP _QOL _zBEP11135852 |
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999 |
_c74064 _d74064 |
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902 |
_c1 _dCynthia Snell |