A dataflow is a cloud based data preparation process used to connect to data sources, transform data and make prepared data available for Power BI reporting.
Dataflow
A dataflow is a cloud based data preparation process used to connect, transform and reuse data for reporting.
Quick facts about dataflows
Data preparation
Dataflows help teams prepare and transform data before it is used in reports or semantic models.
Power Query based
Power BI dataflows use Power Query logic in the cloud, making transformation steps reusable across reporting workflows.
Reusable data
A dataflow can help create prepared data that multiple reports, models or teams can use.
Supports consistency
Dataflows can reduce repeated transformation work by letting teams define shared data preparation steps once.
How dataflows work
Dataflows are used before the report building stage. They help teams connect to source data, apply transformation logic and make prepared data available for later use in Power BI. A typical dataflow process includes:
- Connect to source data
- Transform and clean the data
- Store prepared data in the cloud
- Reuse the data in reports or models
This helps teams avoid repeating the same preparation work in several reports. When the same business data is used across different reporting areas, a dataflow can support more consistent definitions and cleaner report development.
Why dataflows matter in BI reporting
Dataflows help teams prepare data before reports are built. When the same data is cleaned and structured consistently, reports are easier to trust and maintain.
In Power BI, dataflows support reusable data preparation across reports and semantic models. Skald BI then supports the next step: sharing finished Power BI reports through a secure branded portal for customers, partners and internal teams.
Use cases
See how different types of organisations use Skald BI to share Power BI securely with employees, customers and partners.
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Frequently asked questions
What is a dataflow in Power BI?
Dataflows are used to clean, transform and prepare data before it is used in reports, dashboards or semantic models.
Dataflows are useful because they can reduce repeated data preparation work and help teams use consistent prepared data across multiple reports.
Can companies use custom data connectors?
Yes. Some organizations use custom connectors when they need to connect to a specific system that is not covered by standard connector options.
How do dataflows relate to Skald BI?