Microsoft Excel 2013 Building Data Models with PowerPivot

Nonfiction, Computers, Application Software, Spreadsheets, Financial Applications
Cover of the book Microsoft Excel 2013 Building Data Models with PowerPivot by Alberto Ferrari, Marco Russo, Pearson Education
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Author: Alberto Ferrari, Marco Russo ISBN: 9780735676565
Publisher: Pearson Education Publication: March 15, 2013
Imprint: Microsoft Press Language: English
Author: Alberto Ferrari, Marco Russo
ISBN: 9780735676565
Publisher: Pearson Education
Publication: March 15, 2013
Imprint: Microsoft Press
Language: English

Your guide to quickly turn data into results.

Transform your skills, data, and business—and create your own BI solutions using software you already know and love: Microsoft Excel. Two business intelligence (BI) experts take you inside PowerPivot functionality for Excel 2013, with a focus on real world scenarios, problem-solving, and data modeling. You'll learn how to quickly turn mass quantities of data into meaningful information and on-the-job results—no programming required!

  • Understand the differences between PowerPivot for Self Service BI and SQL Server Analysis Services for Corporate BI
  • Extend your existing data-analysis skills to create your own BI solutions
  • Quickly manipulate large data sets, often in millions of rows
  • Perform simple-to-sophisticated calculations and what-if analysis
  • Create complex reporting systems with data modeling and Data Analysis Expressions
  • Share your results effortlessly across your organization using Microsoft SharePoint
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Your guide to quickly turn data into results.

Transform your skills, data, and business—and create your own BI solutions using software you already know and love: Microsoft Excel. Two business intelligence (BI) experts take you inside PowerPivot functionality for Excel 2013, with a focus on real world scenarios, problem-solving, and data modeling. You'll learn how to quickly turn mass quantities of data into meaningful information and on-the-job results—no programming required!

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