"Using data analytics and big data in marketing and strategic decision-making is a key priority at many organisations and subsequently a vital part of the skills set for a successful marketing professional operating today. Authored by world-leading authorities in the field, Marketing Analytics provides a thoroughly contemporary overview of marketing analytics and coverage of a wide range of cutting edge data analytics techniques. It offers a powerful framework, organising data analysis techniques around solving four underlying marketing problems: the 'First Principles of Marketing'. In this way, it offers an action-oriented, applied approach to managing marketing complexities and issues, and a sound grounding in making effective decisions based on strong evidence. It is supported by vivid international cases and examples, and applied pedagogical features. The companion website offers comprehensive classroom instruction slides, videos including walk throughs on all the examples and methods in the book, data sets, a test bank and a solution guide for instructors"--
The Decision Making of Organic and Conventional Agricultural Producers
Englewood Cliffs , NJ : Prentice Hall . Nisbett , R. , & Ross , L. ( 1980 ) . Human Inference : Strategies and shortcomings of human judgment . Englewood Cliffs , NJ : Prentice - Hall . Oakley , K. , & Bolton , W. ( 1985 ) .
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Donner, T., Siegel, M., Fries, P., and Engel, A. K. (2009). Buildup of choice-predictive activity in human ... Fries, P., Nikoli ́c, D., and Singer, W. (2007). The gamma cycle. ... Boston: Pearson Education. Usher, M., and McClelland, ...
Casebook of Organizational Behavior
Quantitative Analysis For Management
For courses in Management Science or Decision Modeling. Render/Stair/Hanna puts an emphasis on model building and computer applications to show students how the techniques presented in the book are used in business.
Study Guide to Accompany Render and Stair's Quantitative Analysis for Management, Second Edition
Quantitative Analysis for Management
Based on the authors' recent Quantitative analysis for management, 4th ed. (1991), this text provides an alternative organization to accommodate the sequence of those management science courses which prefer the linear programming chapters ...