Are you torn between using Power BI’s cloud service or deploying an on-premise solution with Report Server? Making the right choice can significantly impact your organization’s data consistency, development costs, and data accuracy. In this post, we’ll explore the importance of shared datasets and how they can streamline your reporting processes and improve data reliability.
- Data Consistency with Shared Datasets: The primary advantage of Power BI’s cloud service is the ability to create shared datasets, enabling all your reports to access a single, centralized model. This eliminates the need for multiple datasets with different refresh schedules, reducing the risk of inconsistent data across various reports.
- Lower Development Costs: Utilizing shared datasets can lead to substantial cost savings in development efforts. When adding or modifying a measure in a shared dataset, you only need to make the change once, and all connected reports will automatically reflect the update. This contrasts with a non-shared approach, where the same change would require modifying each report individually, potentially increasing development time and costs by up to 10x.
- Eliminating Potential for Wrong Data: The risk of presenting inaccurate data due to human errors is minimized with shared datasets. Forgetting to update measures in all relevant reports or making typographical errors can lead to discrepancies between reports. By leveraging shared datasets, you can ensure that all reports consistently display accurate and up-to-date information.
- Seamless Collaboration: Power BI’s cloud service encourages seamless team collaboration, allowing multiple stakeholders to access and work on shared datasets simultaneously. This fosters better communication, reduces silos, and enhances decision-making processes.
- Scalability and Performance: With the cloud-based Power BI service, you can leverage the scalability and performance benefits of Microsoft’s infrastructure. This means your organization can handle large volumes of data and complex queries more efficiently, leading to faster and more reliable reporting.
If you have any further questions or need guidance in choosing the right Power BI deployment, don’t hesitate to contact Scott at firstname.lastname@example.org. He will be happy to assist you in making an informed decision that aligns with your organization’s needs. Check out how to Integrate Power BI with Power Automate.