Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management - Softcover

Knight, Gerald

Softcover

ISBN 10: 0596100736 ISBN 13: 9780596100735

Publisher: O′Reilly, 2006

Synopsis

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.

About this title

From the Publisher:

Learn how to apply Excel's advanced data analysis features to solve real-world business problems. This hands-on reference targets specific business situations, then demonstrates how to create spreadsheets for these problem areas. Topics include statistics, pivot tables, workload forecasting, modeling, queuing, data importing, and more. Perfect for professional Excel users working in an office environment.

Book Description:

Forecasting, Statistics, and Data Management

About this edition

• Publisher: O′Reilly
• Publication date: 2006
• ISBN 10: 0596100736
• ISBN 13: 9780596100735
• Binding: Paperback
• Number of pages: 262