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Microsoft Power BI Quick Start Guide

You're reading from   Microsoft Power BI Quick Start Guide The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804613498
Length 330 pages
Edition 3rd Edition
Languages
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Authors (4):
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Mitchell Pearson Mitchell Pearson
Author Profile Icon Mitchell Pearson
Mitchell Pearson
Devin Knight Devin Knight
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Devin Knight
Bradley Schacht Bradley Schacht
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Bradley Schacht
Erin Ostrowsky Erin Ostrowsky
Author Profile Icon Erin Ostrowsky
Erin Ostrowsky
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Table of Contents (13) Chapters Close

Preface 1. Gaining Data Literacy with Power BI FREE CHAPTER 2. Connecting to Data 3. Data Transformation Strategies 4. Building the Data Model 5. Leveraging DAX 6. Visualizing Data 7. Digital Storytelling with Power BI 8. Using a Cloud Deployment with the Power BI Service 9. Data Cleansing in the Cloud with Dataflows 10. On-Premises Solutions with Power BI Report Server 11. Other Books You May Enjoy
12. Index

AI Insights

As you learned in the previous section, Power BI integrates and takes advantage of outside tools to enhance the capabilities within itself. That continues to be the case with the AI Insights features. Leveraging the AI Insights capabilities gives you the ability to tap into core features and algorithms within Azure Cognitive Services and expose them within Power BI. So how can this be useful to you?

Imagine you work for a company that runs a vacation rentals website. Customers can book travel and post reviews of their trips on your website. With thousands of customers and hundreds of rental homes, it can be difficult to manage all the reviews that come in to make sure your locations are all meeting the standards your customers expect. With AI Insights you can run algorithms that can perform sentiment analysis, key phrase extraction, language detection, and even image tagging. So, if you have international customers that post reviews, you can use language detection to...

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