From the course: Power BI: Integrating AI

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Putting everything together

Putting everything together - Power BI Tutorial

From the course: Power BI: Integrating AI

Putting everything together

- [Instructor] Our course project focuses on using weather and electricity data for our fictitious company, kinetECO. But once we do all this analysis and use AI as an assistant for better handling our work, how do we make sure what we create gets used? Working in Power BI involves exploratory and explanatory analysis. A lot of the topics we covered in this course were exploratory and that we created things for ourselves or perhaps members of our team to learn more about. But now we want to communicate the results in an explanatory way. Here's an example of what this finished, explanatory Power BI report could look like. You can check out how I created this in the exercise files and play around with it yourself. You might need to make decisions about what to keep and what to remove to keep the focus on the most impactful parts of your Power BI model. On the Semantic Model side, we want to think about setting up refresh schedules to keep the data current and relevant. On the report…

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