There are 4 main examples of using Count to help with organisation and documention. These are outlined below:
Organising dbt models
Tests
Documenting dbt exposures
Laying out data models
Organising dbt models
You have the ability to lay out all models, so for a new person seeing it for the first time, it is clear how data is structured.
Some key benefits:
a data engineer can share more easily with a data analyst
you can see the models alongside the raw data in the data lake
Tests
When using dbt Cloud, model test results are available within the canvas.
If a test begins to fail, the canvas is a great place to diagnose, debug, and document model failures.
Documenting dbt exposures
For users working in other BI tools that want to understand how their semantic model is built, having rich documentation is really useful.
The audience for dbt documentation can be small if the documentation is technical, but with Count you have the opportunity to create richer, more interactive documentation.
Laying out data models
The 2D nature of the canvas makes it a natural place to visually represent your model DAG. Arrange your models logically in space to better represent the logical data flow.
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For more technical information about how the dbt integration works, see our docs.