000			01259cam a22001817i 4500
008			191230s2019 caua b 001 0 eng d
020			_a9780749482169
040			_aZET-ke
050			_aHF5415. 2 _b.G75 2018
100			_aGrigsby, Mike.
245			_aMarketing analytics: _ba practical guide to improving consumer insights using data techniques/ _cMike grigsby.
250			_a2nd ed.
260			_aLondon: _bKogan Page, _cc2018.
300			_ax, 217p.: _bill.; _c23 cm.
500			_aIncludes indexes.
505			_aA brief statistics review -- Brief principles of consumer behaviour marketing strategy -- What is an insight? -- What drives demand? Modelling dependent variable techniques -- Who is most likely to buy and how do I target them? -- When are my customers likely to buy? -- Panel regression - How to use a cross-sectional time-series -- Systems of equations for modelling dependent variable techniques -- What does my ( Customer) market look like? Modelling inter-relationship techniques -- Segmentation - tools and techniques -- Statistical testing - how do I know what works? -- Impementing big data and big data analytics -- The finale - what should you take away from this?
942			_2lcc _cBK _hHF 5415.2 _kHF 5415.2 _mG75 2018 _01
999			_c4894 _d4894