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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


We have come to the conclusion of another chapter. We started with a simple MS SQL Server query and turned it into a fully functional dashboard. Our original query only had ten rows of data, but that turned out to be sufficient enough to tell a story about how the sales revenue was distributed amongst different marketing strategies. Tableau helped us isolate different visualizations separately and then combine them into a single dashboard where all three components interacted with each other. Finally, through the Tableau Public portal, we saw how easily we could publish our results and share them with the rest of the world. In the next chapter, we will continue with the desktop discovery genre and focus our attention to the tool that is considered the closest competitor to Tableau: QlikSense. We will build an inventory dashboard for AdventureWorks that will be used to alert managers when certain products are running low and need to be reordered.

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