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Analytics at Work: Smarter Decisions, Better Results [Hardcover]

Thomas H. Davenport (Author), Jeanne G. Harris (Author), Robert Morison (Author)
4.1 out of 5 stars  See all reviews (21 customer reviews)

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Book Description

February 8, 2010
Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results.

In their previous book, Competing on Analytics, Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits.

Now, in Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations—one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed.

Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to:

· Use data more effectively and glean valuable analytical insights
· Manage and coordinate data, people, and technology at an enterprise level
· Understand and support what analytical leaders do
· Evaluate and choose realistic targets for analytical activity
· Recruit, hire, and manage analysts

Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data.

Frequently Bought Together

Analytics at Work: Smarter Decisions, Better Results + Competing on Analytics: The New Science of Winning + Business Analytics for Managers: Taking Business Intelligence Beyond Reporting (Wiley and SAS Business Series)
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Editorial Reviews

About the Author

Thomas H. Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College and the author, coauthor, or editor of thirteen books. Jeanne G. Harris is Executive Research Fellow and a senior executive at Accenture’s Institute for High Performance in Chicago. Robert Morison has been leading business research in professional services firms for over twenty years and is a coauthor of Workforce Crisis (Harvard Business Press, 2006).

Product Details

  • Hardcover: 240 pages
  • Publisher: Harvard Business Review Press; 1ST edition (February 8, 2010)
  • Language: English
  • ISBN-10: 1422177696
  • ISBN-13: 978-1422177693
  • Product Dimensions: 9.5 x 6.6 x 0.8 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (21 customer reviews)
  • Amazon Best Sellers Rank: #22,150 in Books (See Top 100 in Books)

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Customer Reviews

21 Reviews
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Average Customer Review
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115 of 130 people found the following review helpful:
1.0 out of 5 stars Pointless, meandering prose, June 15, 2010
By 
Dr George Chua (Kuala Lumpur, Malaysia) - See all my reviews
This review is from: Analytics at Work: Smarter Decisions, Better Results (Hardcover)
This book contains some occasional flashes of brilliance, like Figure 1-1 which succinctly summarizes the key questions addressed by analytics. The rest of the book is padded with pointless, meandering and buzzwords-laden prose. Case in point:

"Stage 5 organizations develop a robust information management environment that provides an enterprise wide set of systems, applications, and governance processes. They begin by eliminating legacy systems and old spaghetti code and press forward to eliminate silos of information like data marts and spreadsheet marts. They hunt for pockets of standalone analytic applications and either migrate them to centralized analytic applications or shut them down."

The entire book actually reads like that.

As an applied statistician and an avid reader of business books, I cannot - for the life of me - imagine why people will want to write a book like this. What is the target reader of such a book? Technical professionals like myself will find the book absolutely useless to guide analytical projects. Business professionals will be confused and put off by all the buzzwords.
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28 of 31 people found the following review helpful:
5.0 out of 5 stars A good how-to book for adopting analytics, January 22, 2010
This review is from: Analytics at Work: Smarter Decisions, Better Results (Hardcover)
I received a pre-release copy of Tom Davenport' new book Analytics at Work: Smarter Decisions, Better Results. The book is a follow-on to Competing on Analytics: The New Science of Winning and is a shorter, pithier book than its predecessor. Once again Tom collaborates with Jeanne Harris and this time Robert Morison of the Concours group. Where the previous book focused on so-called analytic competitors, this is about "analytics for the rest of us". It is a very readable book with some good practical advice that does not require the remaking of your company in a new image. It is also a quick read, it is only 180 pages or so, which should help get more people to read it.

And I hope people do read it. As Tom says "The unexamined decision isn't worth making" and too many companies and organizations are making unexamined decisions, failing to apply data they have about what works and what does not, making the same mistakes over and making dumb decisions. Like Tom I think it is time for this to stop and this book will tell you how.

The book's focus is broad, covering how analytics can address key questions of information and insight in each of the past, present, future - reporting, alerts and forecasting give information in the past, present and future while modeling, recommendations and predictions/optimization do the same for insight. For me the most useful part of the book is part one - a set of chapters describing The Analytic DELTA - Data, Enterprise, Leadership, Targets and Analysts - what Tom regards as the 5 critical elements of successful analytic adoption:
* D - accessible, high quality data - I particularly like the focus on uniqueness as a criteria and on using the business need (decision) to drive data quality and integration
* E - enterprise orientation not fractured analytic projects
* L - analytical leadership
* T - strategic targets - a crucial element, that of focusing on using analytics to develop distinctive capabilities. This chapter has a great list of processes that lend themselves to analytics and a very helpful "ladder of analytic applications" to develop from simple to more complex analytic solutions
* A - analysts - a nice chapter with good thoughts on how to manage analysts as a strategic resource.

Part two addresses how to stay analytical through embedding analytics in business processes, building an analytic culture, reviewing your business comprehensively and embarking on an analytical journey towards "more analytical decisions and better results." I really liked the focus on embedding analytics in business processes - this is a topic close to my heart and one we discussed in Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions. The authors do a nice job of explaining why organizations need to adopt a test and learn mindset, to be always unsatisfied and mindful of change and to focus on an "industrial" analytic process.

The authors end by pointing out that becoming analytic is not a one-time activity but must be ongoing - it is a journey which organizations must begin, where they must build momentum and where they must go from thinking of analytics to thinking about decisions and decision making, from analytic management to decision management.
It's a great book and you should buy it.
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15 of 17 people found the following review helpful:
5.0 out of 5 stars A Helpful Guide to Making Decisions, January 19, 2010
This review is from: Analytics at Work: Smarter Decisions, Better Results (Hardcover)
I just received this book and read it quickly. I had read the Davenport/Harris "Competing on Analytics," which has come to be the Bible of business-oriented analytics books. This one is even more accessible, and is broader in its orientation. It's not just for companies that want to compete on their analytical capabilities, but for any organization that needs to make more analytical decisions. The DELTA framework is a clear way to describe the key factors necessary to become more analytical, and the chapters on culture and decision-making in the second half of the book are very helpful. The ideas in this book are unusually easy to apply and it includes handy frameworks and models. Given the rise in analytical activity in organizations, I predict that this book will be just as successful as the first one, if not more so because of its broader focus.
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