Keeping Up with the Quants: Your Guide to Understanding and Using Analytics

Keeping Up with the Quants: Your Guide to Understanding and Using Analytics

by Thomas H. Davenport, Jinho Kim

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Product Details

ISBN-13: 9781422187258
Publisher: Harvard Business Review Press
Publication date: 06/11/2013
Pages: 240
Sales rank: 227,785
Product dimensions: 6.00(w) x 9.40(h) x 1.00(d)

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.

Table of Contents

Acknowledgments vii

1 Why Everyone Needs Analytical Skills 1

2 Framing the Problem 23

3 Solving the Problem 57

4 Communicating and Acting on Results 95

5 Quantitative Analysis and Creativity 127

6 Developing Quantitative Analysis Capabilities 155

7 Working with Quants 185

Notes 213

Index 219

About the Authors 229

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Keeping up with the Quants: Your Guide to Understanding and Using Analytics 4 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago
With data collection becoming more prevalent in every line of work, it is no surprise that this book has emerged at this time. Keeping Up with the Quants explains the basic groundwork of the types and workings of data analysis. However, you need not be a quant to understand this book. Before reading this book, I had not thought much about the omnipresence of data analysis in every aspect of life (surfing the web, watching Netflix, shopping, etc.). Once you understand the decisions and value based upon statistical and quantitative analysis, you can start using data collection to your advantage to comprehend, predict, and address patterns and phenomena. Keeping Up with the Quants will make you a better user of data and analytics in the business world, ultimately enabling you to make better decisions. If you are interested in analytics of softer issues, you should consider Paul E. Meehl’s classic Clinical Versus Statistical Prediction.