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allenvijay56
New Member

How to use 'Suggestions with Copilot' Option in PBI to create complex measure

I am able to create simple measures like Total head count of Employees, Total Count of Activities available. But I am unable to create complex measures like Missing Hours which will have the DAX as Missing hours = [Selected Month Available Hours] - [Total Hours Logged]. How to create this measure by just using Copilot in converstion language.

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @allenvijay56 ,

The ‘Suggestions with Copilot’ option in Power BI is a feature that allows you to use natural language processing to generate DAX code for complex measures. To use this feature, you can simply type your request in natural language into the formula bar, and Copilot will generate the DAX code for you. For example, to create a measure for Missing Hours, you could type something like “Calculate the difference between Selected Month Available Hours and Total Hours Logged” into the formula bar, and Copilot will generate the appropriate DAX code for you.

 

In addition, you can refer the following blog to enable measure suggestions with Copilot in Power BI:

Enable measure suggestions with Copilot in Power BI - Ben's Blog (datakuity.com)

Best Regards

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1 REPLY 1
Anonymous
Not applicable

Hi @allenvijay56 ,

The ‘Suggestions with Copilot’ option in Power BI is a feature that allows you to use natural language processing to generate DAX code for complex measures. To use this feature, you can simply type your request in natural language into the formula bar, and Copilot will generate the DAX code for you. For example, to create a measure for Missing Hours, you could type something like “Calculate the difference between Selected Month Available Hours and Total Hours Logged” into the formula bar, and Copilot will generate the appropriate DAX code for you.

 

In addition, you can refer the following blog to enable measure suggestions with Copilot in Power BI:

Enable measure suggestions with Copilot in Power BI - Ben's Blog (datakuity.com)

Best Regards

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