by Thomas H. Davenport, Jeanne G. Harris
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Product Description 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.
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Average Customer Review:
1 of 1 people found the following review helpful:
Great read!, 2008-12-12 This book really nails it. I have been doing analytics for 20 years and have always preached fact-based decision making. My company specializes in direct marketing which is a very traditional area for use of analytics, but also very limiting. As Davenport illustrates, there are significant other uses for analytics and untold possibilities. Businesses should no longer be run by the "gut-feeling" folks - not when analytics are readily available.
2 of 2 people found the following review helpful:
Harnessing the Hidden Power of Data with Strategic Analytics, 2008-11-19
Competing on Analytics provides a well documented and proven road map to assist businesses achieve profitable and sustainable market growth leveraging data-driven decisions. In a methodical style, it introduces a framework to guide the transition from Tactical Analytics (description) to Strategic Analytics (prediction) in harnessing the hidden power of enterprise data. The book through its numerous real world examples shows convincely that whereas Tactical Analytics yield good results, the adoption of Strategic Analytics yield even higher returns.
The major contribution of this book is its clarity in outlining a clear roadmap to manage process and organizational challenges to ensure the deployment of a successful Analytic Strategy:
* Guidance on how to harness data to improve business performance through the implementation of Information-Based strategies
* Identification and management of the key operational issues (Decision Making, Business Processes, Manager/Employee Behavior and Customer expectations) in introducing and incorporating Analytics as part of a company corporate strategy.
The book provides ample of examples on how different companies have leveraged Information-Based strategies to establish market leadership across several industries: Financial Services, Retail, Travel & Entertainment, Industrial Production and Sports.
Although highlighting Analytics on its title, this is not a book on "how to do analytics", analyze data, CRM analytics, build and validate statistical models or how to apply data mining algorithms; rather, it is comprehensive, well written and structured book written to assist Decision Makers, Managers, Influencers and company Leaders to understand and harness the power hidden in the data to compete and win in the marketplace.
1 of 2 people found the following review helpful:
If you are already in analytics, then you don't need this book., 2008-11-17 I thought this book provided a very general overview of using analytics in organizations. There was way too much covering the obvious that you have to get management buy-in for it to be successful. Duh, that's what you have to do with any initiative, whether analytics or something else. Anyway, you don't need this book if your are already in analytics, only if you want a 'broad general overview' of analytics.
1 of 2 people found the following review helpful:
Numbers Made More Mind-Numbing, 2008-11-09 I confess that despite being a bit of a numbers freak I was disappointed in "Competing on Analytics." The authors provide a good overview of how statistical analysis can be designed to help businesses make good decisions and create a competitive advantage. They give many examples from companies involved in analytical competition.
"Competing on Analytics" would have been more enjoyable if time was spent concentrating on a single company or a single industry. As it is, the authors flit from one company to another and don't allow the reader to see how analytics started in a company, became part of the company culture, how it benefited the company, and how the company plans to use analytics in the future. Perhaps showing that progression would be giving away too much inside information from a single entity.
The beginning chapters were the most interesting. The authors related specific examples showing how analytics have been used at corporations such as Harrah's Entertainment, Capital One, and the Boston Red Sox. Portions of the final chapter that discussed the future of analytics were also of some interest.
Perhaps my expectations were just too high based on reading the cover blurbs, but I was just barely able to slog through "Competing on Analytics." If you have been exposed to this subject before, you probably won't find much new in this book.
I would love to read a book on this subject that did not feel like it was written for a stodgy academic journal.
1 of 2 people found the following review helpful:
Disappointing, 2008-11-07 Maybe, since I work in analytics, my review is different from the others. If you are a new incomer in the field or if you don't have any idea of the issue, this book is maybe a good beginning. But if you know something (even if this is very low) about analytics, CRM or Customer Strategy, this book is really worth nothing. It is written from a tom manager point of view, and it would not give you any new insight about how analytics is changing the way the corporations do business.
Only acceptable for those who know nothing about the stuff.

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