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Practical Business Intelligence

You're reading from   Practical Business Intelligence Optimize Business Intelligence for Efficient Data Analysis

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Length 352 pages
Edition 1st Edition
Languages
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Author (1):
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Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
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Table of Contents (16) Chapters Close

Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Practical Business Intelligence FREE CHAPTER 2. Web Scraping 3. Analysis with Excel and Creating Interactive Maps and Charts with Power BI 4. Creating Bar Charts with D3.js 5. Forecasting with R 6. Creating Histograms and Normal Distribution Plots with Python 7. Creating a Sales Dashboard with Tableau 8. Creating an Inventory Dashboard with QlikSense 9. Data Analysis with Microsoft SQL Server

Chapter 3. Analysis with Excel and Creating Interactive Maps and Charts with Power BI

Microsoft Excel is known by many in the field as the grandfather of business intelligence. This may very well be due to the fact that your grandfather was a member of the first generation of analysts to use Excel. All kidding aside, for many years within the corporate world, Excel was the primary tool used to analyze data from a data warehouse as well as to build reports. This is due to many reasons but primarily due to the fact that almost all companies have licenses with Microsoft and so analysts, developers, and managers can conveniently access Excel's capabilities with minimal effort. Specifically, it is difficult to imagine a finance department not leveraging some form of reporting with Excel.

In the last 20 years there has been a conscious effort to push users away from establishing a BI platform built on top of Excel and instead to move towards other tools, which will be discussed in more detail later...

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