The ability to build dashboards that can extend the power of data visualization within the platform is always a good feature to have. These dashboards should be extendable as well as flexible as we don't know what kind of data would come in.
In this book, we have seen various ways to create dynamic and static dashboards. Some dashboards as an output of data processing and others as static dashboards which only display raw data.
Visualization also needs to have its own level of data abstraction. A dashboard that gets created should be centered around an administrator, a data scientist, or an end user, who would view the final data after processing.
