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Keeping Up with the Quants: Your Guide to Understanding and Using Analytics, by Thomas H. Davenport
Get Free Ebook Keeping Up with the Quants: Your Guide to Understanding and Using Analytics, by Thomas H. Davenport
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Review
Shortlisted for CMI Management Book of the year award 2013 (New Manager category)“an accessible and timely introduction to the data mining work of quantitative analysts.” Named it one of “Four Books [that] Should Top Every Marketer’s Summer Reading List.” — Forbes.com“goes into fascinating detail about how Intel and other successful companies—including Verizon Wireless, TD Bank Group, and Merck—help managers and data scientists understand each other well enough to collaborate effectively.” — CNNMoney/Fortune magazine“perfect for professionals who want a better grounding in understanding and applying data results to business goals” — Midwest Book Review“Written for readers without a business degree or background in statistics, Keeping Up With the Quants explains how to read, interpret, and glean value from your data.” — T+D magazine (American Society for Training & Development)“the book makes for great reading for leaders trying to corral data in their organization.” — Small Business Trends (smallbiztrends.com)“Decision makers who want to understand how to utilize Big Data have a useful primer in Keeping Up with the Quants." — BizEd magazine“a terrific book for those who aspire to be data-savvy consumers or managers, even for those who might become quants one day themselves.” — Seeking AlphaADVANCE PRAISE for Keeping Up with the Quants:Erik Brynjolfsson, professor, MIT Sloan School of Management; coauthor, Race Against the Machine— “As digital information becomes ever more abundant, quantitative literacy becomes ever more essential. There is no better guide to this new landscape than Keeping Up with the Quants.”Daryl Morey, General Manager, Houston Rockets—“Tom Davenport is the number one analytics expert in the world today. Whether you are an executive looking to integrate analytics in your decision making or a manager seeking to generate better conversations with the quants in your organization, this is the book for you.”Jim Goodnight, cofounder and CEO, SAS—“Analytics experts understand that the path to knowledge includes advanced data analysis. To bring everyone else up to speed, this book is required reading.”Dr. Seung-Han Lee CBE, Chairman and CEO, Homeplus Group (Tesco Korea)—“Insight comes from analytics. You can learn how to find treasure in your data from this book.”Tim Phillipps, Deloitte Touche Tohmatsu Limited Global Leader, Deloitte Analytics—“Analytics is not just a fad—it’s the future. If you are looking for a competitive data edge, this book is for you.”Dr. Gary W. Loveman, Chairman and CEO, Caesars Entertainment, Inc.—“Keeping Up with the Quants provides a compelling and accessible road map for managers to understand the process by which analytic questions are framed, examined, and turned into powerful business insights.”
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About the Author
Thomas H. Davenport is the President’s Distinguished Chair at Babson College and a research fellow at the MIT Center for Digital Business. He is also a senior advisor to Deloitte Analytics and the cofounder and research director of the International Institute for Analytics. Davenport is the coauthor of Competing on Analytics and Analytics at Work. This is the seventeenth book he has authored, coauthored, or edited.Jinho Kim is a professor of business and statistics at the Korea National Defense University and the research director of the KNDU Lab for Analytics Research. He holds a PhD from the Wharton School and is the author of six books published in Korea, including the bestselling 100 Common Senses in Statistics and Freak Statistics. He has developed and run an educational program for building individuals’ analytical skills. His current research focuses on the use of analytical methods to address various issues in business and society.
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Product details
Hardcover: 240 pages
Publisher: Harvard Business Review Press (June 11, 2013)
Language: English
ISBN-10: 142218725X
ISBN-13: 978-1422187258
Product Dimensions:
6.4 x 1 x 9.3 inches
Shipping Weight: 15.5 ounces (View shipping rates and policies)
Average Customer Review:
3.9 out of 5 stars
44 customer reviews
Amazon Best Sellers Rank:
#56,953 in Books (See Top 100 in Books)
I loved the style of the authors regarding the basic concepts BUT the examples and stories they tried to relate to... oh my, they were not good. I've had some experience with numbers in my work and this book was for my MBA program. Therefore, I'm not a novice but the book made a point about relating stories to numbers and how effective it is (I agree, of course) but the stories this book tried to tie in were off the mark most of the time. That being said, there are so many good parts of the book to help you develop your quant brain.
I had a little trouble understanding who the authors had in mind as the audience for this book. It seemed to basic for any professional who would have to deal with statistics/data or would have to manage/collaborate with someone who does.There are some helpful reminders throughout about how to approach problems and how to communicate your ideas. But the authors seem seem to replace depth with a multiplicity of business-y anecdotes (ironic, as they include the old chestnut "the plural of anecdote is not data" - the plural of anecdote, it so happens, is not "a book").Overall, the book feels superficial. It might inform you how to probe an analyst on first-level questions, but doesn't provide enough depth to take you through a couple follow-ups or know when you're getting snowed.
As a management professor I keep reading all sorts of books. This book is a nice introduction to Quants for people who are afraid of numbers and data. It is written in simple language and analytic concepts are explained well for non-data people. A good introductory book if you are looking to acquaint yourself with the analytics world!
basically story-telling, too basic, a light introductory work, no takeaways, although some examples presented were interesting. Not for a seasoned professional.
I just took a new position, and my dean has been trying to develop a better decision making process and structure. This book is a must read for anyone not in the data science business but who needs to understand how to use data better and learn what questions to ask and pitfalls to avoid in collecting and using data.It's a very valuable investment of time to read. I promise it will stay on my Kindle forever, and I'll recommend it to anyone who has decision making responsibility.
This is a fine introduction to the world of data analysis for business professionals. The authors do a fine job of providing a generalized framework for analytic approaches to business problems. It also provides a number of helpful anecdotes which are presented in terms of the framework to help the reader understand them as real-world exercises. Other than that, it is a very standard business publication - high on concept, low on practical impacts. If you are already familiar with basic analytic techniques or are a designer or user of BI/dashboards/etc., then this book is not for you. If you are completely new to these things, it will be helpful.
Must read for non-quant managers and analysts involved in business analytics. Author clearly did a good job of explaining problem framing to decision making in easy language. It is also a good read for quant people to understand on how to communicate extracted information to co-worker and managers.
If you aren't a quant but you realize the power and importance of data driven business, this book is for you. A very solid, accessible overview that will get you started. Be sure to read through to the end for a well thought-out, first-of-its-kind guide to working with quants, including expectations management, communication guidelines, etc. -- which is also great for quants as well to help folks understand boths sides of the communication gap and bridge this sometimes cavernous divide.Eric Siegel, Ph.D.Founder, Predictive Analytics WorldAuthor, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
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