000			05513cam a2200673 i 4500
001			on1284917898
003			OCoLC
005			20240523125543.0
006			m o d
007			cr |||||||||||
008			211028s2022 njua ob 001 0 eng
010			_a 2021047905
040			_aDLC _beng _erda _epn _cDLC _dOCLCF _dOCLCO _dORMDA _dDG1 _dYDX _dN$T _dOCLCO _dOCLCQ _dOCLCO _dK6U _dOCLCQ _dOCLCO _dOCLCL
019			_a1284918716 _a1292553535
020			_a9781119736097 _q(electronic book)
020			_a1119736099 _q(electronic book)
020			_a1119736102 _q(electronic book)
020			_a9781119736110 _q(electronic book)
020			_a1119736110 _q(electronic book)
020			_a9781119736103 _q(electronic bk.)
020			_z9781119736080 _q(hardcover)
020			_z1119736080 _q(hardcover)
029	1		_aAU@ _b000070154837
029	1		_aAU@ _b000070668254
035			_a(OCoLC)1284917898 _z(OCoLC)1284918716 _z(OCoLC)1292553535
037			_a9781119736080 _bO'Reilly Media
042			_apcc
050	0	4	_aHF5548.2 _b.M2593 2022
082	0	0	_a658/.05 _223/eng/20211101
049			_aMAIN
100	1		_aMaisel, Lawrence, _d1946- _eauthor.
245	1	0	_aAI-enabled analytics for business : _ba roadmap for becoming an analytics powerhouse / _cLawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen.
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2022]
300			_a1 online resource : _bcolor illustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aPart 1: Fundamentals -- Chapter 1 -- A Primer on AI-Enabled Analytics for Business -- Chapter 2 -- Why AI-Enabled Analytics Is Essential for Business -- Chapter 3 -- Myths and Misconceptions about Analytics -- Chapter 4 -- Applications of AI-Enabled Analytics -- Part 2: Roadmap -- Chapter 5 -- Roadmap for How to Implement AI-Enabled Analytics in Business -- Chapter 6 -- Executive Responsibilities to Implement Analytics -- Chapter 7 -- Implementing Analytics -- Chapter 8 -- The Role of Analytics in Strategic Decisions -- Part 3: Use Cases -- Chapter 9 -- Cases of Analytics Failures from Deviation to the Roadmap -- Chapter 10 -- Use Case: Grabbing Defeat from the Jaws of Victory -- Chapter 11 -- Use Case: Incremental Improvements to Gain Insights -- Chapter 12 -- Use Case: Analytics Are for Everyone.
520			_a"Predictive business analytics refers to the skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions. It focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions--or it may drive fully automated decisions. We are entering the era of digital analytics where human and artificial intelligence (AI) work hand in hand to achieve better analytical results. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. More and more organizations are seeking better processes and tools to ensure that the right people have the right information at the right time, to make smarter decisions. This process, in essence, reflects an organizational capability to improve managerial decision making across many core performance and financial areas. For years, organizations have sought to develop and deploy an effective process to capture and filter forward-looking measures that enable it to understand significant patterns, relationships, and trends in order to facilitate better and more insightful decisions about the future. This book is intended to promote clarity and ensure that the application of AI-Enabled Predictive Business Analytics is relevant to all business functions"-- _cProvided by publisher
588	0		_aOnline resource; title from digital title page (viewed on February 10, 2022).
590			_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks
650		0	_aBusiness _xData processing.
650		0	_aArtificial intelligence _xIndustrial applications.
650		0	_aArtificial intelligence _xMarketing applications.
650		6	_aGestion _xInformatique.
650		6	_aIntelligence artificielle _xApplications industrielles.
650		6	_aIntelligence artificielle _xApplications en marketing.
650		7	_aArtificial intelligence _xIndustrial applications _2fast
650		7	_aArtificial intelligence _xMarketing applications _2fast
650		7	_aBusiness _xData processing _2fast
700	1		_aZwerling, Robert James, _eauthor.
700	1		_aSorensen, Jesper Hybholt, _eauthor.
758			_ihas work: _aAI-enabled analytics for business (Text) _1https://id.oclc.org/worldcat/entity/E39PCGFbT64hgM7dxxXKfQWDpX _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _aMaisel, Lawrence, 1946- _tAI-enabled analytics for business. _bFirst edition. _dHoboken, New Jersey : Wiley, [2022] _z9781119736080 _w(DLC) 2021047904
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119736110
938			_aEBSCOhost _bEBSC _n3139479
994			_a92 _bINLUM
999			_c12836 _d12836