What is the primary benefit of using dataflows in Power BI?

The primary benefit of using dataflows in Power BI lies in their ability to streamline the data preparation process, making it easier to reuse data models across multiple reports. Dataflows allow organizations to centralize the ETL (extract, transform, load) processes, which enables data from various sources to be transformed, cleaned, and organized into a structured format.

This centralized approach to data preparation not only enhances consistency and reduces duplication of effort but also saves time for data analysts and report creators. Once dataflows are created, they can be reused in various Power BI reports and dashboards, allowing for efficient management of data sources and ensuring that all reports share the same cleaned and transformed data. This maintainability is crucial for ensuring data quality and consistency across an organization’s reporting landscape.

While other options may describe elements of the Power BI user experience or visualization capabilities, they do not capture the core advantage of dataflows as it pertains to data reuse and preparation efficiency.