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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

Summary


In this chapter, we moved forward with BI platforms by expanding our query analysis against the data to build different datasets. These datasets were first analyzed with Excel, with PivotTable and PivotChart manipulations, to get a sense of what type of visualizations are possible as well as the magnitude of the measures behind the datasets. We then built upon our visualizations from Excel with an interactive Microsoft Power BI dashboard on top of a query that showed us the volume of employees located by city and postal code for the AdventureWorks Company.

In the next chapter, we will focus on building bar charts using D3.js.

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