000			01674cam a22003618i 4500
001			20296256
003			OSt
005			20220707073704.0
008			180119s2018 nju 001 0 eng
010			_a 2018001026
020			_a9781119371953
040			_aDLC _beng _erda _cDLC _dDLC
042			_apcc
050	0	0	_aHF5415.1263 _b.U63 2018
082	0	0	_a658.1554 _222
100	1		_aUpadhyay, Shashi, _d1970- _eauthor.
245	1	4	_aThe revenue acceleration rules: supercharge marketing and sales through artificial intelligence, predictive technologies and account-based strategies _cby Shashi Upadhyay, Kent McCormick.
263			_a1805
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2018]
300			_a180 p. _c21 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aIncludes index.
505	0		_aIntroduction -- The CMO's challenge -- ABM and AI -- Data as the foundation -- AI as the intelligence layer -- Use-cases unveiled -- Mapping predictive to your business models -- Ten steps to successfully accelerate revenue with predictive and AI -- Supporting the CMO's journey.
650		0	_aIndustrial marketing.
650		0	_aArtificial intelligence.
700	1		_aMcCormick, Kent _c(Product development consultant), _eauthor.
776	0	8	_iOnline version: _aUpadhyay, Shashi, 1970- author. _tRevenue acceleration rules _dHoboken, New Jersey : John Wiley & Sons, Inc., [2018] _z9781119372066 _w(DLC) 2018005178
906			_a7 _brip _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c30448 _d30448