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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

Building a sales dashboard in Tableau


There are many ways to get started with visualizing in Tableau. One convenient way is to build out several separate visualizations in sheets and then connect them together on a single dashboard canvas later on.

Building a Crosstab

Next to the Data Source tab, click on the tab called Sheet1 to get started visualizing our first component, as seen in the following screenshot:

As we get started with our first visualization, we will primarily see a blank canvas along with access to dimensions, measures, and visualization options. Any object that comes through as a non-numeric field from the data will be labeled under the Dimensions header and can be accessed from the upper left-hand side, as seen in the following screenshot:

Subsequently, any object that comes through from the data as a numeric field will be interpreted as a measure and will fall under the Measures header, as seen in the following screenshot:

And finally, if you are looking to see what the...

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