000 03149cam a2200541 i 4500
001 9780429300363
003 FlBoTFG
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006 m o d
007 cr cnu---unuuu
008 220701t20232023nyua ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9780429300363
_qelectronic book
020 _a0429300360
_qelectronic book
020 _a9781000786187
_qelectronic book
020 _a1000786188
_qelectronic book
020 _a9781000786088
_qelectronic book
020 _a1000786080
_qelectronic book
020 _z9780367281502
_qhardcover
020 _z9780367281489
_qpaperback
024 7 _a10.4324/9780429300363
_2doi
035 _a(OCoLC)1350425267
035 _a(OCoLC-P)1350425267
050 0 4 _aHF5548.2
_b.H325 2023
072 7 _aBUS
_x019000
_2bisacsh
072 7 _aBUS
_x086000
_2bisacsh
072 7 _aBUS
_x083000
_2bisacsh
072 7 _aKJMV7
_2bicssc
082 0 0 _a658/.05
_223/eng/20221107
100 1 _aHaimowitz, Ira J.,
_eauthor.
245 1 0 _aData analytics for business :
_blessons for sales, marketing, and strategy /
_cIra J. Haimowitz.
264 1 _aNew York, NY :
_bRoutledge,
_c2023.
264 4 _c©2023
300 _a1 online resource (xiv, 161 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _a"Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real world business applications. The foundation of this text is the author's 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and data-driven artificial intelligence. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBusiness
_xData processing.
650 0 _aMarketing
_xData processing.
650 0 _aMachine learning.
650 7 _aBUSINESS & ECONOMICS / Decision-Making & Problem Solving
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Forecasting
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Information Management
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429300363
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4502
_d4502