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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

Comparing tools head-to-head


We dived deep into six different tools that can be used for BI. As mentioned before, they generally fall under two main categories:

  • Data discovery desktop applications

  • Traditional programming languages

Deciding on the best tool or methodology for our organization largely depends on our needs as well as our BI maturity. Are the users at a level where they need to be spoon-fed the data in a format that is ready to go out the door? Are the users more tech-savvy that just require us to point them in the direction where the raw data is stored and they can do the rest on their own? These are all good questions and will vary based on the organizations, as well as users within the same organization.

Comparing the data discovery desktop applications

We covered three popular data discovery desktop applications:

  • Power BI

  • Tableau Public

  • QlikSense

As we went through an entire exercise of developing a BI application with each one of these tools, we encountered similarities and differences...

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