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(More customer reviews)A must have for any data miner that takes his profession seriously. Already a classic. Business modeling and data mining are carefully separated, as they should be. This crucial distinction has greatly enlightened my view on business problems. First discover the framework for the business problem, determine the leverage point, and then build and refine the best possible model.
All steps are described in practical detail, making the book extremely actionable, and tool independent. First, how to determine the appropriate problem to analyze? Then, what are the right data, and how do I get them? Only then does the data mining begin, and a groundbreaking, comprehensive methodology is put forward to come up with the best possible model in every circumstance. The business modeling and data mining methodologies explicate at every possible step in the process - what to do, and how to proceed. In addition, a lot of supporting material provides insight on topics like working with conditional probabilities, regression to the mean, visualizing model performance and errors in problem space, etc.
Mr. Pyle's previous book set the mark with regards to data preparation. This book is much broader in its scope and should actually be read before the previous one. It's pretty hefty, but more than worth the read. In my opinion it should also be mandatory for `data savvy' marketers as well, for instance as textbook in contemporary MBA courses.
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Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. ÂTeaches how to discover, construct and refine models that are useful in business situationsÂTeaches how to design, discover and develop the data necessary for mining ÂProvides a practical approach to mining data for all business situationsÂProvides a comprehensive, easy-to-use, fully interactive methodology for building models and mining dataÂProvides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.
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