When designing visuals and dashboards, instead of just replicating the same charts and tables that you created for yourself when exploring the data, take a minute to think about things from the point of view of the audience. Think about how their perspective and needs differ from yours.

In your situation as an analyst, you know the data and environment well already; you do not need labels and descriptions on your charts. What you want is as much information as you can fit into one place, so you can easily find patterns. The people who will be either interacting with dashboards or viewing your presentation have different needs.

They will want to be able to orient themselves visually with minimal effort. They want the key conclusions to be obvious. They do not want to have to spend a lot of time trying to figure it out, or have to ask a lot of questions just to understand what is being shown. They want simple and familiar, but with enough detail that they feel confident that the data is backing up their interpretation.

It is useful to follow a framework when designing analytics interactions for others. This will help to organize your thoughts and plan out what visualizations and dashboards are needed to support analysis by other people.