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Business Analytics 2nd Edition

by James Evans (Author)
4.1 out of 5 stars 237 ratings

Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.

New to This Edition

New and Updated for this Edition

  • Screenshots throughout the text are updated for Excel® 2013.
  • The updated design strikes a better balance between the text and the image size.
  • More problems have been added at the end of every chapter.
  • There is a new case on Drout Advertising Research.

Content Updates

New and Updated for this Edition

  • Screenshots throughout the text are updated for Excel® 2013.
  • The updated design strikes a better balance between the text and the image size.
  • More problems have been added at the end of every chapter.
  • There is a new case on Drout Advertising Research.

Content Updates

  • Chapter 1 has been heavily revised with updated sections and new examples throughout
  • Chapter 2
    • New objective–Use Excel functions for business intelligence queries in database
    • New information on VLOOKUP function
  • Chapter 3
    • New section on Data Visualization with Figures and Captures
    • New examples:
      • Data Visualization through formal conditioning
      • Examples of Sparklines
      • Using Slicers
    • New Analytics in Practice Box: Driving Business Transformation with IBM Business Analytics
  • Chapter 4 includes a revised section on the CORREL function
  • Chapter 5
    • New section on Join and Marginal Probability
    • New example–Applying Probability Rules to Joint Events
  • Chapter 7
    • New section: Confidence Intervals and Hypothesis Tests
    • New section: Cautions in Using the Chi-Square Test
  • Chapter 8
    • New learning objective: List the Common Types of Mathematical Functions Used in Predictive Modeling
    • New section: Practical Issues in Trendline and Regression Modeling
  • Chapter 10
    • New section: Data Exploration
    • New example: Using XLMiner to Sample from a Worksheet
    • New example: A Boxplot for Credit Risk Data
  • Chapter 11
    • New learning objective: Use Excel tools to create user-friendly Excel Models and Applications
    • New section: Spreadsheet Applications in Business Analytics
    • New section: Developing User-Friendly Excel Applications
    • New example: Using Data Validation
    • New example: Using Form Controls for the Outsourcing Decision Model
  • Chapter 13 includes a new example: Multiple Parameter Analysis for the SSC Problem
  • Chapter 14
    • New section: Solver Output and Data Visualization
    • New example: Little Investment Advisers
    • New section on scaling
  • Chapter 16
    • New section: Risk and Variability
Previous slide of product details
  1. ISBN-10
    0321997824
  2. ISBN-13
    978-0321997821
  3. Edition
    2nd
  4. Publisher
    Pearson
  5. Publication date
    December 30, 2014
  6. Language
    English
  7. Dimensions
    8.05 x 1.2 x 10 inches
  8. Print length
    664 pages
Next slide of product details

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Business Analytics, Global Edition
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Editorial Reviews

About the Author

James R. Evans

Professor, University of Cincinnati College of Business

James R. Evans is professor in the Department of Operations, Business Analytics, and Information Systems in the College of Business at the University of Cincinnati. He holds BSIE and MSIE degrees from Purdue and a PhD in Industrial and Systems Engineering from Georgia Tech.

Dr. Evans has published numerous textbooks in a variety of business disciplines, including statistics, decision models, and analytics, simulation and risk analysis, network optimization, operations management, quality management, and creative thinking. He has published over 90 papers in journals such as Management Science, IIE Transactions, Decision Sciences, Interfaces, the Journal of Operations Management, the Quality Management Journal, and many others, and wrote a series of columns in Interfaces on creativity in management science and operations research during the 1990s. He has also served on numerous journal editorial boards and is a past-president and Fellow of the Decision Sciences Institute. In 1996, he was an INFORMS Edelman Award Finalist as part of a project in supply chain optimization with Procter & Gamble that was credited with helping P&G save over $250,000,000 annually in their North American supply chain, and consulted on risk analysis modeling for Cincinnati 2012’s Olympic Games bid proposal.

A recognized international expert on quality management, he served on the Board of Examiners and the Panel of Judges for the Malcolm Baldrige National Quality Award. Much of his current research focuses on organizational performance excellence and measurement practices.

Product details

  • Publisher ‏ : ‎ Pearson; 2nd edition (December 30, 2014)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 664 pages
  • ISBN-10 ‏ : ‎ 0321997824
  • ISBN-13 ‏ : ‎ 978-0321997821
  • Item Weight ‏ : ‎ 2.3 pounds
  • Dimensions ‏ : ‎ 8.05 x 1.2 x 10 inches
  • Customer Reviews:
    4.1 out of 5 stars 237 ratings

Customer reviews

4.1 out of 5 stars
237 global ratings

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Top reviews from the United States

  • Amazon Customer
    5.0 out of 5 stars Great Introduction to Analytics
    Reviewed in the United States on April 10, 2017
    Verified Purchase
    Bought this for an intro to Accounting Analytics class and this serves a great introduction to a basic understanding of the analytics field. It also teaches you some hidden excel functions and add-ons that you may utilize to perform your analytics and statistics.
    Helpful
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  • Hardik Bhagwanbhai Patel
    5.0 out of 5 stars Awesome
    Reviewed in the United States on January 17, 2021
    Verified Purchase
    The product was delivered with utmost care and the quality of the product too is great.
    Thank you
    Helpful
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  • DSexton
    5.0 out of 5 stars It was easy to follow
    Reviewed in the United States on September 29, 2017
    Verified Purchase
    This was assigned for a graduate data analytics course. It was easy to follow, well written and easily referenced.
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  • P. Cox
    1.0 out of 5 stars Literally the worst-written textbook I've ever read
    Reviewed in the United States on September 9, 2018
    Verified Purchase
    It's written in narrative style, but bounces around from picture to picture, page to page... you'll give yourself ADD by the time you finish a chapter.
    Simple instructions are written out narrative-style, and backwards. Example: "click the Conditional Formatting button in the Styles group within the Home tab." How about: Home > Styles > Conditional Formatting. That's 10x easier and won't give your brain a stroke trying to read.

    Also, the homework questions use terminology that may or may not be used in the chapter, but it certainly isn't found in the index or the end of chapter summary, or table of contents. So you end up flipping through the entire Chapter trying to find some use of this word.
    Example: "Open file X and make and Excel table." Well, file X looks like a table to me already. Is this a special term? It's not in the back of the book, back of the chapter, or front of the book. I'll just waste a bunch of time trying to figure out what the question is asking. Then it goes on, "what is the distribution of Y?" Well, do you want to me create my own graph; are you asking me to use a certain function? Do you even want a graph at all or a different kind of table for this "distribution"? How about just USE THE SAME TERMINOLOGY YOU DID ALL CHAPTER so I know what the question is asking!!!
    11 people found this helpful
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  • King of the Stream
    4.0 out of 5 stars College Book
    Reviewed in the United States on August 2, 2017
    Verified Purchase
    My fiancé got this for her courses at college. I can't really review this on her behalf, because I didn't read/use this book. But hey, she passed her course so this must work!
    Helpful
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  • Rebecca Roth
    5.0 out of 5 stars Very, very informative!
    Reviewed in the United States on May 20, 2018
    Verified Purchase
    First 14 pages of book covered over half of the content that was covered in another school's online course. Totally worth every penny!
    Helpful
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  • Franky
    2.0 out of 5 stars Book arrived in good condition
    Reviewed in the United States on May 23, 2024
    Verified Purchase
    The book itself was in good condition but I hate the book topic
    Helpful
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  • William
    3.0 out of 5 stars Three Stars
    Reviewed in the United States on July 24, 2016
    Verified Purchase
    Lots of typos
    Helpful
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Top reviews from other countries

Translate all reviews to English
  • Dr. Franco Arda
    5.0 out of 5 stars I wish I had had this book for my MBA
    Reviewed in Germany on September 20, 2017
    Verified Purchase
    I got this book as a refresher for business analytics.

    Normally, I don't bother with Excel. I use Python to do data science / machine learning. But I wanted to have a quick refresher. If you work too long with a hammer ....

    I wish I had had this book during my MBA. The book is easy to read, interesting theory with many practical case studies. Additionally, they go deep into Excel (through an add on). They cover exciting stuff such as:

    - Stochastic processes
    - Monte Carlo Simulation
    - Simple Machine Learning Algoriths
    - Linear Programming / Optimization

    Every number cruncher should be excited about those topics :-)

    I certainly see cases where I would use Excel (with an add on), in particular for quick and dirty linear optimization.

    As a scientific Python user, I always envy Excel's ability to create visuals in seconds. For us, visuals are a nightmare.

    Would I use Excel for data science / machine learning? NEVER! Not even to learn it. In Excel, I can't "read code" ....I'd be totally lost.

    Great book!
    Report
  • Buyer
    5.0 out of 5 stars Very glad with the purchase.
    Reviewed in Spain on May 21, 2018
    Verified Purchase
    It met my expectations, however you can tell the difference from the Global Edition as pages are in b/w. For the rest, content is the same at a fraction of the cost. Very glad with the purchase.
    Report
  • jumul
    5.0 out of 5 stars Five Stars
    Reviewed in the United Kingdom on January 16, 2018
    Verified Purchase
    good
    Report
  • Sunny
    5.0 out of 5 stars Five Stars
    Reviewed in India on April 3, 2018
    Verified Purchase
    very good book for the cost it is being sold in India, excellent content, detailed examples on predictive, prescriptive, Non linear problems.
    you will get lot of enthu/interest to read the book
    Report
  • Amazon Customer
    5.0 out of 5 stars Excellent
    Reviewed in India on August 25, 2019
    Verified Purchase
    No comments
    Report