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Microsoft Excel Data Analysis and Business Modeling - Softcover

 
9780735619012: Microsoft Excel Data Analysis and Business Modeling

Synopsis

Master the techniques that business analysts at leading companies use to transform data into bottom-line results. For more than a decade, well-known consultant and business professor Wayne Winston has been teaching corporate clients and MBA students the most effective ways to use Microsoft Excel for data analysis, modeling, and decision making. Now this award-winning educator shares the best of his classroom experience in this practical, business-focused guide. Each chapter advances your data analysis and modeling expertise using real-world examples and learn-by-doing exercises. You also get all the book’s problem-and-solution files on CD—for all the practice you need to solve complex problems and work smarter with Excel.

Learn how to solve real business problems with Excel!

  • Create best, worst, and most-likely scenarios for sales
  • Calculate how long it would take to recoup a project’s startup costs
  • Plan personal finances, such as computing loan terms or saving for retirement
  • Estimate a product’s demand curve
  • Simulate stock performance over a year
  • Determine which product mix will yield the greatest profits
  • Interpret the effects of price and advertising on sales
  • Assign a dollar value to customer loyalty
  • Manage inventory and order quantities with precision
  • Create customer service queues with short wait times
  • Estimate the probabilities of equipment failure
  • Model business uncertainties
  • Get new perspectives on data with PivotTable dynamic views
  • Help predict quarterly revenue, outcomes of sporting events, presidential elections, and more!

On the CD:

  • Practice files for all the book’s exercises
  • Solutions for problem sets
  • Fully searchable eBook

For customers who purchase an ebook version of this title, instructions for downloading the CD files can be found in the ebook.

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About the Author

Wayne L. Winston is a professor of Decision Sciences at Indiana University's Kelley School of Business and has earned numerous MBA teaching awards. For 20+ years, he has taught clients at Fortune 500 companies how to use Excel to make smarter business decisions. Wayne and his business partner Jeff Sagarin developed the player-statistics tracking and rating system used by the Dallas Mavericks professional basketball team. He is also a two time Jeopardy! Champion.

From the Back Cover

About the Author: Wayne L. Winston teaches decision sciences at Indiana University's Kelley School of Business. For more than 10 years he has taught business analysts how to use Excel to make better decisions. His clients include Bristol-Myers Squibb Company; Cisco Systems, Inc.; Eli Lilly and Company; Ford Motor Company; General Motors Corporation; Intel Corporation; Microsoft Corporation; NCR Corporation; Owens Corning; Pfizer, Inc.; Proctor & Gamble; the U.S. Army; and the U.S. Department of Defense. Wayne and business partner Jeff Sagarin developed a player rating system that the Dallas Mavericks use to identify statistical trends and evaluate players. Wayne is also a two-time Jeopardy! Champion. Product Description: Now you can apply the techniques that business analysts at leading companies use to analyze and transform data into bottom line results. For more than 10 years, well-known consultant and business professor Wayne Winston has been teaching corporate clients and MBA candidates the most effective ways to use Microsoft Excel for data analysis, modeling, and decision making. This practical, business-focused guide delivers the best of Winston's classroom experience to you in 70+ concise chapters, organized by real-world scenarios. Quickly find and apply exactly the information you need to solve a specific business problem-from asset allocation modeling to estimating exponential growth, forecasting sales, optimizing portfolios, and other critical functions. You also get all the book's sample files on CD-ROM-ready for use in your own work.

"About this title" may belong to another edition of this title.

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