Competing on Analytics: The New Science of Winning

by Thomas H. Davenport, Jeanne G. Harris

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From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability. Leading companies are doing more than just collecting and storing data in large quantities-they're now driving their competitive strategies based on data-driven insights. And achieving impressive results: Identifying the most profitable customers, accelerating product show more innovation, optimizing supply chains and pricing, and leveraging the true drivers of financial performance. The secret weapon? Analytics-sophisticated quantitative and statistical analysis and predictive modeling supported by data-savvy leaders and powerful information technology. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry. They show how organizations as diverse as Procter & Gamble, Capital One, CEMEX, and the Boston Red Sox are using these tools to outperform rivals, by applying analytics to finance, manufacturing, R&D, HR, and with customers and suppliers. Presenting a practical framework of the five stages of analytical competition, this book provides managers with the roadmap for becoming an analytical competitor. show less

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5 reviews
Tom and Jeanne have written an excellent new book (building on a paper they wrote some time ago) about what they call "analytic competitors", that is to say companies that use their analytic prowess not just to enhance their operations but as their lead competitive differentiator. The book discusses a number of these analytic competitors and gives an overview of how analytics can be used in different areas of the business and how you can move up the analytic sophistication scale.

The book has two parts - one on the nature of analytical competition and one on building an analytic competency. The first describes an analytical competitor and how this approach can be used in both internal and external processes. The second lays out a roadmap show more for becoming an analytical competitor, how to manage analytical people, a quick overview of a business intelligence architecture and some predictions for the future.

They define an analytical competitor as an organization that uses analytics extensively and systematically to outthink and outexecute the competition. The analytics are in support of a strategic distinctive competency and they argue, persuasively, that without a distinctive capability you cannot be an analytic competitor.

The book outlines what they call four pillars of analytical competition- a distinctiive capability, enterprise-wide analytics, senior management commitment and large scale ambition. They lay out 5 stages of analytic competition from "analytically impaired" to "analytic competitor". The importance of experimentation is made clear and the book repeatedly emphasizes the need for companies and executives to be willing to run the business "by the numbers".

The book is full of stories about how companies compete analytically and this is one of the book's strengths. It also has a great list of questions to ask about a new initiative and outlines a number of ways to get a competitive advantage from your data. Regardless of the competitive approach, the need for analytical executives to be willing to act on the results of analyses is made clear. The book ends with a great list of changes coming.

This is a very interesting book both for those interested in competing on analytics and those interested simply in making more use of their data.
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This is an excellent overview about how businesses can - and must - sharpen their analytic and measurement capabilities in order to understand that clients and operate effectively. The concepts are as relevant today as when the book was published nine years ago. If the case studies featured are now well-known examples, their permanence in a fast-moving economy validates the importance of the book. Two key concepts I found especially valuable were the importance of aligning analytics to a strategic strength and the value of understanding the different paths leadership can take in growing an analytic capability. The authors also cover the human factors, the basic technology landscape, and a range of applications spanning sectors and show more functions. show less
I absolutely loved this book. I would have liked more examples of how to apply the knowledge they described, but there were still so many great success stories of companies who have applied data analytics. I recently got into this field and this book was very motivational and exciting!
More evocative of the appeal of competing on analytics than a tutorial on how to compete on analytics... Since it's a general business book, that's not really a criticism (unless the book was 5000 pages long, it can't go into too much detail)

Loveman has hired into Harrah's a number of very analytical senior and middle managers. He also listed three reasons why employees could be fired from Harrah's: "... you don't harass women, you don't steal, and you've got to have a control group."

- page 30
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43+ Works 2,057 Members
Thomas H. Davenport is the Director of the Andersen Consulting Institute for Strategic Change and a Professor of Information Management at Boston University
5 Works 396 Members

Classifications

Genres
Business, Nonfiction, General Nonfiction, Technology
DDC/MDS
658.4013Applied science & technologyManagement & public relationsGeneral managementExecutivePlanning, control, strategyControl, evaluation
LCC
HD38.7 .D38Social sciencesIndustries. Land use. LaborIndustries. Land use. LaborManagement. Industrial management
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Statistics

Members
391
Popularity
80,005
Reviews
5
Rating
½ (3.34)
Languages
English, Finnish, French, Spanish
Media
Paper, Audiobook, Ebook
ISBNs
9
ASINs
3