Data AcquisitionPower BI uses data acquisition which is retrieving data from external data sources, exporting and then changing the data for analysis. Since Power BI supports a variety of connectors (such as databases, Excel files and web services as well as any cloud platform), users can have data from various places. Once the data has been acquired, it can be cleaned, structured, loaded to Power BI for visualization and reporting so that businesses can make meaningful, data based decisions without error or risk of oversight.

Data ModellingData modeling in Power BI is how you structure and organize your data into readable formats, so you can then create meaningful relationships, calculations, and answers. It consists of specifying tables, associating them in relationships and building measures or computed columns based with DAX (Data Analysis Expressions). An efficient query and visualization of the data model will enhance the report efficiency and accuracy. If the data model is optimized, it becomes easy for users to create interactive dashboards and insights, which in turn helps users make data driven decision making more effective.

Data VisualizationPower BI uses data visualization to transform raw data into interactive, easy to understand reports and dashboards. While the visualizations in ChartCleer can be chart of your liking, they mainly unite using a collection of charts, graphs, and maps that allow users to explore and dig into trends and patterns with visualizations, as well as providing a set of reporting tools that allow to draw conclusions and create a document of findings. Power BI’s graphical interface is very simple and thus makes analyses in real time too easy and intuitive. Data visualization that facilitates businesses to develop informed decision making, allows complex data to be presented in a user friendly and actionable format.