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James R. Evans
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Business Analytics: Pearson New International Edition Paperback – 1 November 2013

by James R. Evans (Author)
3.8 out of 5 stars 37
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There is a newer edition of this item:

Business Analytics, 2Nd Edn
Business Analytics, 2Nd Edn
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For undergraduate and introductory graduate business courses.

A balanced, holistic approach to understanding business analytics.

This book provides students with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations. Evans also shows students how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.

Previous page
  1. Print length
    656 pages
  2. Language
    English
  3. Publisher
    Pearson
  4. Publication date
    1 November 2013
  5. Dimensions
    21.7 x 2.4 x 27.9 cm
  6. ISBN-10
    9781292039732
  7. ISBN-13
    978-1292039732
  8. See all details
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Product details

  • ASIN ‏ : ‎ 1292039736
  • Publisher ‏ : ‎ Pearson; 1st edition (1 November 2013)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 656 pages
  • ISBN-10 ‏ : ‎ 9781292039732
  • ISBN-13 ‏ : ‎ 978-1292039732
  • Dimensions ‏ : ‎ 21.7 x 2.4 x 27.9 cm
  • Customer Reviews:
    3.8 out of 5 stars 37

About the author

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James R. Evans

James R. Evans

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3.8 out of 5 stars
3.8 out of 5
37 global ratings

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Jason
5.0 out of 5 stars Great!
Reviewed in the United States on 17 January 2023
Verified Purchase
Great and clean book.
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TheUnbiasedReviewer
3.0 out of 5 stars A Book without Answers to Problems!
Reviewed in India on 4 April 2015
Verified Purchase
The biggest drawback of this book (by Pearson, India) is that it has been released without answers to end-of-chapter problems. This is a very USER-UNFRIENDLY decision when it comes to a math-related book. When customers buy books where problems are given, it is most annoying to find that no answers are printed in the book.

Treatment: The treatment of the subject matter is ok. Except for Chap 12 (Introduction to Data Mining), all the other chapters are typically those that can be found in any standard book on Business Statistics and/or Quantitative Methods. So I did not find anything significantly new/different in this book. But I guess that's ok since stats and quantitative methods have much in common with analytics, and it's hard to draw a clear line between the two.

Printing Quality: Very good printing quality.

Other Features:

Sadly, the publisher has released this book with a single answer to the end-of-chapter problems. So if you want to use it as a self-study guide, forget it. It would have been pragmatic to publish at least the answers to the odd-numbered or even-numbered problems. By not printing any answers, the publisher is losing sales because those who want to use it as a self-study guide will not buy it.

The credentials of the author are also not given (only his name is printed). Including the professional background details of the author enhances the credibility of the book, and is typically done in most books.

There is no "Preface" in this book too! Including a preface is essential since the user gets to understand the author's perspective behind writing the book. All books carry a preface, and it is conventional to have one.

The edition of the book is also not printed on the cover of the book! It is conventional to print the edition of the book on the cover. On the inside, in small print, it says "First Impression, 2015".

The publisher must remove the drawbacks listed above, in the next edition. A thorough review of the book prior to release should have spotted some of the errors listed above.
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kay
4.0 out of 5 stars Four Stars
Reviewed in the United Kingdom on 7 March 2015
Verified Purchase
Good content overall
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Amazon Customer
4.0 out of 5 stars Four Stars
Reviewed in India on 20 January 2017
Verified Purchase
Good
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Kevin Shaw
4.0 out of 5 stars MBA textbook
Reviewed in the United States on 22 September 2014
Verified Purchase
Needed for my MBA class. I have learned more in MS Excel than I ever thought I would. The examples are mostly good with a few bad. Good that there are plenty of examples to help get the point across. Bad on only a couple occasions where the examples do not help. Hey, it could just be me.
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