Power BI Easily Integrates with Multiple Data Sources
Connecting data to Power BI is simple and efficient, if you use data that's centralized, secured and structured before you create the visualization.
Because data can be drawn from disparate systems without a central repository, Power BI’s easy connections to data can reduce time to deliver. We use Power BI to leverage our on-premises data warehouses or cloud-based data lakes.
A data lake or data warehouse can seamlessly pull data into Power BI from many sources — such as cloud-based applications (via an application programming interface), automated Excel file extractions or single-use flat files — to effortlessly create visualizations.
DIG DEEPER: Five tips for effectively curating student data.
Power BI can also connect to a tabular model, which connects databases to back-end relational data sources. The software’s AI Insights feature allows users to access a selection of pretrained machine learning and artificial intelligence algorithms that can enhance data transformation and structuring.
Power BI can also pull data from a school’s student information system and an instruction-based prescriptive-diagnostic platform to create one visualization that uses information from data sources. Showing data from different systems on a single screen helps users to understand the big picture. Such capabilities make data more available and more actionable in support of district goals.