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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Overview

Keeping Up with the Quants: Your Guide to Understanding and Using Analytics by Thomas H. Davenport, Jinho Kim

Why Everyone Needs Analytical Skills

Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data.

As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your “quantitative literacy" guide—helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value.

In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. You’ll gain crucial skills, including:

• How to formulate a hypothesis
• How to gather and analyze relevant data
• How to interpret and communicate analytical results
• How to develop habits of quantitative thinking
• How to deal effectively with the “quants” in your organization

Big data and the analytics based on it promise to change virtually every industry and business function over the next decade. If you don’t have a business degree or if you aren’t comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challenge—and gain a significant competitive edge.

Product Details

ISBN-13: 9781422187265
Publisher: Harvard Business Review Press
Publication date: 05/21/2013
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 240
Sales rank: 1,203,356
File size: 1 MB

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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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.