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Artificial Intelligence with Power BI

You're reading from   Artificial Intelligence with Power BI Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814638
Length 348 pages
Edition 1st Edition
Languages
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Author (1):
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Mary-Jo Diepeveen Mary-Jo Diepeveen
Author Profile Icon Mary-Jo Diepeveen
Mary-Jo Diepeveen
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Table of Contents (18) Chapters Close

Preface 1. Part 1: AI Fundamentals
2. Chapter 1: Introducing AI in Power BI FREE CHAPTER 3. Chapter 2: Exploring Data in Power BI 4. Chapter 3: Data Preparation 5. Part 2: Out-of-the-Box AI Features
6. Chapter 4: Forecasting Time-Series Data 7. Chapter 5: Detecting Anomalies in Your Data Using Power BI 8. Chapter 6: Using Natural Language to Explore Data with the Q&A Visual 9. Chapter 7: Using Cognitive Services 10. Chapter 8: Integrating Natural Language Understanding with Power BI 11. Chapter 9: Integrating an Interactive Question and Answering App into Power BI 12. Chapter 10: Getting Insights from Images with Computer Vision 13. Part 3: Create Your Own Models
14. Chapter 11: Using Automated Machine Learning with Azure and Power BI 15. Chapter 12: Training a Model with Azure Machine Learning 16. Chapter 13: Responsible AI 17. Other Books You May Enjoy

Data requirements for forecasting

To integrate forecasting in your visuals in Power BI, there is one thing you need: data. The option to add a forecast will not even appear in Power BI if your data does not meet the necessary requirements. As well as that, the volume and quality of data can influence the accuracy of the forecast that Power BI will create for you.

First, let's learn a little bit more about forecasting. Then, we can explore the data requirements for forecasting in Power BI and illustrate it with an example.

Why use forecasting?

In general, the purpose of forecasting is to make predictions on what will happen in the future. There can be a myriad of reasons why anyone would want to know what will happen in the future. If we keep it within the scope of business intelligence, it is highly likely that forecasting is used to form actionable insights. For example, if we keep on doing business as usual, how many products should we expect to sell next year? Or...

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