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Here are the steps to convert Power BI reports to tabular forms in Power Apps

Here are the steps to convert Power BI reports to tabular forms in Power Apps:

  1. Data Source and Model:

    • Identify the data sources used in the Power BI reports and ensure they are accessible within Power Apps.

    • Create or modify a data model in Power Apps to organize the data for use in the app.


  1. App Design:

    • Determine the layout and design of your Power App. Decide which controls and visual elements (e.g., tables, galleries, charts) will replace the visualizations in the Power BI reports.


  1. Data Integration:

    • Integrate the data from your data sources into the Power App's data model.

    • Implement data filtering and sorting mechanisms as needed.


  1. Tabular Forms:

    • Replace the visualizations in the Power BI reports with tabular forms in Power Apps.

    • Use tables or galleries to display data in rows and columns.

    • Implement charts or graphs using Power Apps controls to visualize data if required.


  1. Interactivity:

    • Implement interactivity features such as filtering, sorting, and search to allow users to interact with the data in the tabular forms.


  1. Conditional Formatting:

    • Apply conditional formatting to highlight specific data points or apply color-coding based on certain conditions.


  1. Expressions and Formulas:

    • Use Power Apps formulas and expressions to calculate and derive data as required.


  1. Testing and Validation:

    • Thoroughly test the tabular forms to ensure data accuracy and functionality.

    • Validate the app with stakeholders and end-users to gather feedback.


  1. Deployment and Sharing:

    • Publish the Power App to make it available to end-users.

    • Configure access permissions and sharing settings for different users.


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Hari Prasad
Hari Prasad
Jul 26, 2023

Here are some example fields that you might find in a typical tabular form in Power Apps:

  1. Name: A field representing the name of a person, product, or entity.

  2. Date: A field representing a date or timestamp.

  3. Category: A field categorizing data into different groups or classes.

  4. Quantity: A field representing a numerical quantity or count.

  5. Price: A field representing a numeric value for a product's price.

  6. Description: A field providing a brief description or summary of an item.

  7. Status: A field indicating the current status of an item (e.g., "Pending," "In Progress," "Completed").

  8. Location: A field indicating the physical location of an item or event.

  9. Customer ID: A unique identifier for customers or entities.

  10. Order ID: A unique identifier…

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