Witivio
Power Query is a powerful tool used to extract, transform, and load data from a variety of sources into Power BI. One of these sources is Witivio – a data visualization and analytics platform that provides businesses with valuable insights into their operations.
To connect to Witivio from inside Power BI, you will need to use Power Query M Language code. This code is used to define data sources, retrieve data, and transform it into a format that can be used in Power BI. In this article, we will take a closer look at how to use Power Query M Language code to connect to the Witivio data source.
Step 1: Define the Data Source
The first step in connecting to Witivio from inside Power BI is to define the data source using M Language code. To do this, you will need to open the Power Query Editor and select “New Source” from the “Home” tab. From the list of data sources, select “Web” and enter the URL for the Witivio data source.
Next, click “OK” to open the “Navigator” window. This window displays the available tables and columns in the Witivio data source. Select the table or tables you want to use and click “Load” to import the data into Power BI.
Step 2: Retrieve and Transform the Data
Once you have defined the Witivio data source, you will need to retrieve and transform the data using M Language code. This code is used to specify the data to be retrieved, apply filters and transformations, and define the output format.
To retrieve and transform the data, select the table or tables you want to use from the “Navigator” window and click “Edit Queries” from the “Home” tab. This will open the Power Query Editor, where you can use M Language code to transform the data.
For example, you can use M Language code to filter data based on specific criteria, such as date ranges or product categories. You can also use code to merge or join tables, calculate new columns, or group data by specific fields.
Step 3: Export the Data to Power BI
Once you have retrieved and transformed the data using M Language code, you can export it to Power BI for use in your reports and dashboards. To do this, click “Close & Apply” from the “Home” tab in the Power Query Editor.
This will import the data into Power BI and display it in the “Fields” pane. From here, you can drag and drop fields onto your report canvas to create visualizations and dashboards.
Conclusion
Using Power Query M Language code to connect to the Witivio data source from inside Power BI is a powerful way to extract, transform, and load data into your reports and dashboards. By following the steps outlined in this article, you can easily connect to Witivio and take advantage of its powerful data visualization and analytics capabilities.
