Are there any challenges or limitations when using Power BI Fabric to build data narratives and how can they be overcome

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Are there any challenges or limitations when using Power BI Fabric to build data narratives, and how can they be overcome?

I’d like to know about any challenges or limitations that might arise when using Power BI Fabric to create data narratives. Specifically, what potential roadblocks exist in terms of data visualization, scalability, or integration, and what strategies or tools can be employed to overcome these issues and ensure a smooth user experience?
Dec 27, 2024 in Power BI by Evanjalin
• 17,680 points
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1 answer to this question.

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Three essential roles will be essential in adopting the storytelling techniques in Power BI Fabric and making data understandable to audiences who are not technically inclined: visual, narrative, and contextual.

Simplify with Clear Visuals: create easy-to-understand visuals such as bar charts, pie charts, and heatmaps; not too many indicators but an emphasis on key metrics such as KPIs and trends; ensure a consistent visual identification with the same type of colors and clear labeling.

Build That Narrative for Flow: Present the actual report in the same way a story unfolds-be it in the overall view of the specific-in-detail aspects. Add some text boxes to give context to the data in terms of what they say.

Contextualizing and Insightful: This technique casts dense data into an action statement. Just as simply as opening the sales figure, one may add what that would mean for the business as a whole, including what these figures would imply in terms of business decisions, trends that they indicate, and what can be done with actions.

Through these, visualization and narrative, with the context, could turn raw data into a really engaging, comprehensible story for non-technical audiences.

answered Dec 27, 2024 by pooja
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edited 2 days ago
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Several pitfalls can be encountered when developing data stories in Power BI Fabric.

Dimensional Complexity of Data Integration: Power BI Fabric can perform poorly when integrating multi-source data. To overcome these complexities, involve prudent national modeling principles and apply Power Query for effective data transformation.

Scalability Issues: Performance problems develop when high data loads create long report loading times. To prevent this, you can optimize DAX queries, use aggregations, and employ DirectQuery to minimize data load time reduction.

Limits of Visualization: Power BI does provide good visualization where complicated or highly customized charts require a workaround. Custom visuals are usually needed, or one may use some advanced features from other Power BI tools.

Proper attention to data preparation and performance optimizations while using Power BI extensibility can handle these challenges well and provide a great user experience.

answered Dec 27, 2024 by pooja
• 16,540 points

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