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hmasim_'s avatar
hmasim_
Frequent Visitor
2 years ago
Solved

Analyze in Excel with CUBE functions

Hi There,   I have two questions.   1) To create flexible and specific format report our organisation is considering to connect with Powerbi sementic model and produce custom reports in excel usi...
  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi hmasim_ ,

    1. Using Power BI Semantic Model with CUBE Functions in Excel

    Pros:

     

    Flexibility: CUBE functions allow you to create highly customized reports that aren’t confined to the structure of PivotTables

    Direct Data Access: You can directly access and manipulate data from the Power BI semantic model, leveraging the power of DAX measures

    Dynamic Updates: Reports can be refreshed to reflect the latest data from the Power BI model

    Integration: Seamless integration with Power BI ensures that you are using governed and secure data

    Cons:

     

    Complexity: Writing and managing CUBE functions can be complex and may require a steep learning curve

    Performance: Large datasets or complex calculations can impact performance and slow down Excel

    Maintenance: Maintaining and updating reports with CUBE functions can be more challenging compared to traditional PivotTables

     

    1. Disconnecting from CUBE Functions to Paste Data as Values

    To share your Excel file without the CUBE functions, you can follow these steps:

     

    Copy and Paste as Values:

    Select the range of cells containing the CUBE functions.

    Right-click and choose “Copy” or press Ctrl + C

    Right-click on the same range or a new location and choose “Paste Special” > "Values"

    Convert to Formulas:

    If you have a PivotTable connected to the Power BI model, you can convert it to formulas using the OLAP tools:

    Select any cell in the PivotTable.

    Go to the “PivotTable Tools: Analyze” tab.

    Click “OLAP Tools” > "Convert to Formulas"

    Below is the link will help you:

    www.spreadsheetclass.com

    gorilla.bi

    Best Regards,

    Xianda Tang

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