Whistle Stopper - Competing on Analytics: The New Science of Winning

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Manufacturer: Harvard Business School Press

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Binding: Hardcover
Dewey Decimal Number: 658.4013
EAN: 9781422103326
ISBN: 1422103323
Label: Harvard Business School Press
Manufacturer: Harvard Business School Press
Number Of Items: 1
Number Of Pages: 240
Publication Date: 2007-03-06
Publisher: Harvard Business School Press
Release Date: 2007-03-06
Studio: Harvard Business School Press

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Spotlight customer reviews:

Customer Rating:

Summary: The Future of Business
Comment: As data becomes more available across the enterprise, the challenge becomes how to leverage data for a competitive advantage. This well-written book defines the benchmarks from which organizations should measure their ability to use data to establish a competitive advantage. Highly recommended reading.

Customer Rating:

Summary: Excellent book
Comment: This was an excellent book on analytics, with great examples of how companies have been able to leverage data to make better business decisions with software tools like CUBE IT. It is well written and very timely.

Customer Rating:

Summary: good for dissertation
Comment: I find this book very interesting for my academic program. I'm using it for my dissertation. It is very specialized on increasing business performance through IT, above all analytical process.

Customer Rating:

Summary: Waffle
Comment: Overall though these writers are correct that organizations now days are sitting on huge amounts of data. Yet currently we are only know little on how to get information out of this data.

This book does little to explain how to do it. What it does do is waffle on again and again on the same point. Often reads more like an advertisement then an explanation on the subject. If you want to know what analytics are all about you will not find it here. Also many of the facts quoted here are dubious e.g. I know many mathematicians that do this and they do not earn more then people with MBAs. It also needs summarizing.

Customer Rating:

Summary: A disappointment
Comment: The book was a disappointment. It has interesting info but I couldn't figure out who their target audience would be. The book is structured as a how-to guide for companies who would like to become analytics oriented. It is divided into two parts, the first of which offers examples of different analyses used by various companies and the second focuses on the skills and tools needed to implement an analytics-based decision making strategy. Unfortunately each part seems to be geared to a different audience. The first gives detailed information on different kinds of analyses, down to the methods recommended. This is very interesting for those of us already using analytics as a decision making tool but it would be hard going for people who are not analytically oriented to start with. And the second part goes into great detail on what tools and skills are needed to develop analytical muscle, information. Anyone who is knowleadgeable enough to enjoy the first half does not need the second half (there is nothing new there, trust me). And those who could use the info from the second half, will not find the first half interesting enough to make it all the way to the second part. A book like Supercrunchers, that focuses on successful projects in all areas, presented in very general terms, would be more appropriate to people who are neophytes in the wonderful world of analytics as a business tool.

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Editorial Reviews:

You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.

In Competing on Analytics: The New Science of Winning , Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.

Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.