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Analyzing Business Data with Excel
 
 
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Analyzing Business Data with Excel [Paperback]

Gerald Knight (Author)
4.3 out of 5 stars  See all reviews (6 customer reviews)

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Book Description

January 10, 2006

As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet.

Analyzing Business Data with Excel shows you how to solve real-world business problems by taking Excel's data analysis features to the max. Rather than focusing on individual Excel functions and features, the book keys directly on the needs of business users. Most of the chapters start with a business problem or question, and then show you how to create pointed spreadsheets that address common data analysis issues.

Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics. After introducing some necessary general tools, it quickly moves into more specific problem areas, such as the following:

  • Statistics
  • Pivot tables
  • Workload forecasting
  • Modeling
  • Measuring quality
  • Monitoring complex systems
  • Queuing
  • Optimizing
  • Importing data

If you feel as though you're getting shortchanged by your overall application of Excel, Analyzing Business Data with Excel is just the antidote. It addresses the growing Excel data analysis market head on. Accountants, managers, analysts, engineers, and supervisors-one and all-will learn how to turn Excel functionality into actual solutions for the business problems that confront them.


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Editorial Reviews

About the Author

Gerald Knight has nearly 30 years experience in the computer industry as a developer, teacher, and consultant. During an over twenty-year career at FedEx, he was a project leader and system architect working on imaging and revenue control systems. He has specialized in Excel development for the last ten years. Now retired, he consults and occasionally writes in Memphis, Tennessee.


Product Details

  • Paperback: 264 pages
  • Publisher: O'Reilly Media; 1 edition (January 10, 2006)
  • Language: English
  • ISBN-10: 0596100736
  • ISBN-13: 978-0596100735
  • Product Dimensions: 9.1 x 6.7 x 0.6 inches
  • Shipping Weight: 14.4 ounces (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #603,180 in Books (See Top 100 in Books)

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Customer Reviews

6 Reviews
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Average Customer Review
4.3 out of 5 stars (6 customer reviews)
 
 
 
 
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18 of 18 people found the following review helpful:
5.0 out of 5 stars Excel as taught from the business perspective, January 25, 2006
This review is from: Analyzing Business Data with Excel (Paperback)
I like the viewpoint of this book; I have a business problem, now how do I attack that in Excel? So many books come at business problems from the perspective of a specific feature in the product. This book teaches the solution to a complex business data analysis problem through use of the features in Excel. Excellent!

It's a small book. The text is a little terse, but that's ok. Screenshots are used sparingly.

If what you want is a feature by feature breakdown of Excel then this book isn't for you. But if what you have is some data that you need to crunch and you don't know much about Excel then check this book out.
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10 of 10 people found the following review helpful:
5.0 out of 5 stars Exactly what I was looking for!!, March 29, 2006
By 
This review is from: Analyzing Business Data with Excel (Paperback)
As a strategy analyst I'm always looking for concise ways to present data and make it automated and professional-looking without lots of code that none of my clients can use.

I agree with the previous reviewer, other books come at Excel and similar applications with a feature by feature breakdown so that in usage YOU have to work backwards to figure out how to apply software features to your problem.

This book is organized by business problem and then proceeds to breakdown how your problem applies to the software solution. There is very useful code in some of the models, but nothing horribly difficult to implement.

Excellent addition to my reference library. I've truly never seen a business data analysis book as well put together as this and I've been searching for years. You will not be disappointed.
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10 of 11 people found the following review helpful:
5.0 out of 5 stars VERY VERY HIGHLY RECOMMENDED!!, June 18, 2006
This review is from: Analyzing Business Data with Excel (Paperback)
Are you an experienced Excel user? If you are, then this book is for you! Author Gerald Knight, has done an outstanding job of writing a practical guide that shows you how to solve real-world business problems by taking Excel's data analysis features to the max.

Knight, begins by covering averages, trends, correlation, distributions and array formulas. Then, the author examines pivot table basics and ways to modify data to make it work better with pivot tables. Next, he covers the application development process, worksheet organization, and forecasting techniques. The author continues by exploring regression, problem definition, analysis, model construction, and interpretation of results. He also works with statistical process control, X and Y charts, and application design. Knight, then examines data requirements, statistical techniques and logic, application design, and organization. Then, he shows you how to apply formatting, VBA, and logic in an application that measures worker performance in a queuing operation. The author continues the discussion of queuing with another application by focusing on the status of the queue. He also explains how to use Goal Seek and Solver for various kinds of problems. Knight next covers importing from text files, databases, and XML. Then, he examines common problems with dates, numeric information, dealing with data in report form, and equivalence problems. Finally, he covers display design, color combination, dealing with complexity, and visual consideration.

This most excellent book keys directly on the needs of business users. More importantly, this book addresses the growing Excel data analysis market head-on.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
ending ratio, adjusted prediction, hourly forecasts, weekly prediction, array formula, lite mix, filtered average, display sheet, pivot chart, tag sort, settings sheet, average payout, screen updating, pivot tables, report sheet, named values, detail sheet, named cells
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Goal Seek, Average of Order, Cancel Figure, Add Item, Helen Brown, Action Date, Commit Days, Order Date, Customer Number, Sales Emp, Grand Total, Salt Lake, Win Average Amount, Help Figure, Total Winnings, Count of Ord, New York, Little Rock, Statistical Process Control, Win Percentage, Kelly Jones, Martha Davis, Net Profit, Percent Error, Bob Smith
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