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Business Analytics for Managers (Use R!), by Wolfgang Jank
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The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making.
Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. �While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available.
The main goals of this book are as follows: to excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes and�provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.
- Sales Rank: #1193631 in Books
- Published on: 2011-08-10
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .48" w x 6.10" l, .55 pounds
- Binding: Paperback
- 189 pages
Review
From the book reviews:
“The book is organized so that it may be viewed as a collection of eight lectures. I think this is a good way to approach the book. … the book does a nice job of delivering on its main objectives and I recommend it to anyone who desires to know more about the practice and the potential of business analytics.” (Mark A. McComb, Technometrics, Vol. 54 (4), November, 2012)
From the Back Cover
The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making.
�
Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. �While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available.
�
The main goals of this book are as follows:
��������� To excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes.
��������� To provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.
About the Author
Wolfgang Jank is Associate Professor in the Department of Decisions, Operations & Information Technologies and Director, Center for Complexity in Business, at the Smith School of Business, University of Maryland. He is interested in using ideas from statistics and data mining to solve problems in marketing, information systems, and operations management. Dr. Jank has authored over seventy refereed articles, book chapters and conference papers. He has� co-authored two books, Statistical Methods in e-Commerce Research and Modeling Online Auctions.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Useful
By Jennifer K. Wilson
I read this for Dr. Jank's graduate level course Statistical Data Mining and it was very useful. I would recommend this book.
1 of 1 people found the following review helpful.
Not for regular reading
By Sergeant O
This book is not well written as an independent resource guide. It must be taken in conjunction with the course and reader must have access to the data mentioned within the book. It does not explain concepts very well for beginners and requires reader to use R and have familiarity with R. It attempts to provide a structure as a teaching method but falls flat on that front. I wanted so much from this book but ultimately it does not deliver - probably better alternatives out there. However if this is your course required book and you've never taken R then you may want to purchase an additional book such as a beginner's guide to R or take an introductory course to R before taking this course.
4 of 6 people found the following review helpful.
Excellent book on creating predictive data models
By J. Story
In business, it can be vital to able to anticipate what will happen in the future. Jank's book takes you through the process of developing data models that make this possible. These models range from the most simple to the complex.
Although creating these models requires the use of statistics, Jank does a good job of making the subject understandable to the layman. He resists excess use of jargon, and I found the book easy to read. This does not in the least mean that the book is a fluff piece. It is easy to follow, but it walks through a statistical minefield, and so must be read closely.
My only critique is that a little more eye candy would probably make the book appeal to a larger audience.
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