SpringyBI is used to create analytics for the cleaned and filtered data. There are various charts which can be used to create insights on the data.
It is required to have data processed and available in the Business Data Lake (BDL). The data available in BDL is exposed through schema and table definitions. These schema and table definitions are exposed through the query layer of SpringyBI.
Connecting to Data
After logging into SpringyBI go to Dataset page from Data menu option. On Dataset screen click on '+ Dataset' button to add any dataset.
On clicking on the Add dataset button it will ask for the database name, schema name and the table inside of that schema.
Use ‘Sprngy' database to access any of the application data in springybi. On clicking on 'ADD’ button the data for that particular module and entity will accessible in springybi as a dataset.
Now you can create any charts using this dataset. To create a chart either click on that newly created dataset or go to charts page from the top navigation and select the dataset along with the required chart type.
After selecting the chart type, select the metrics and filters to create the required analytic on the dataset.
As you can see on the above image, it is a bar chart created on a teams dataset which shows maximum wins for all the teams. Once you are satisfied with the chart you can save the chart. To display various analytics of same dataset you can also create a dashboard and add these charts in it.
To create a dashboard, go to Dashboards page from the top navigation. Click on create dashboard button from top right, this would open up a customizable dashboard frame in which you can add any charts, scale them and add texts, filters as required.
Audit Dashboards
There are also sprngy dashboard which monitor the processing of data. You can use these dashboards to check on the workloads running, there success and failure, there time consumption and so on.
