000			03669cam a22005178i 4500
001			9780429465468
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005			20220509193029.0
006			m o d
007			cr |||||||||||
008			190416s2019 onc ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a0429465467
020			_a9780429465468 _q(electronic bk.)
020			_a9780429878718 _q(electronic bk. : PDF)
020			_a0429878710 _q(electronic bk. : PDF)
020			_a9780429878701 _q(electronic bk. : EPUB)
020			_a0429878702 _q(electronic bk. : EPUB)
020			_a9780429878695 _q(electronic bk. : Mobipocket)
020			_a0429878699 _q(electronic bk. : Mobipocket)
020			_z9781771887298 (hardcover : alk. paper)
024	8		_a10.1201/9780429465468 _2doi
035			_a(OCoLC)1098217867
035			_a(OCoLC-P)1098217867
050	1	0	_aHD30.215
072		7	_aCOM _x021030 _2bisacsh
072		7	_aSCI _x000000 _2bisacsh
072		7	_aUB _2bicssc
082	0	0	_a658.1/1011 _223
245	0	0	_aComputing predictive analytics, business intelligence, and economics : _bmodeling techniques with startups and incubators / _cedited by Cyrus F. Nourani, PhD.
264		1	_aOakville, ON, Canada ; _aPalm Bay, Florida, USA : _bApple Academic Press, _c2019.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	0		_aInnovation management and computing
520			_a"This volume, Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Startups and Incubators, brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume. The chapter authors address diverse issues in conjunction with computing predictive analytics, business intelligence, and economics, including university startup incubators, innovation in business, high-tech startups, strategic leadership, developing management systems, sustainable manufacturing and services, strategic decision trees, identifying business competencies, and more. The volume will prove informative to business managers, economists, technology leaders, start-ups, business school faculty and students, IT specialists, high-tech entrepreneurial groups, and others."-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aManagement _xStatistical methods.
650		0	_aBusiness intelligence.
650		0	_aNew business enterprises.
650		7	_aCOMPUTERS / Database Management / Data Mining _2bisacsh
650		7	_aSCIENCE / General _2bisacsh
700	1		_aNourani, Cyrus F., _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429465468
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c128544 _d128544