Working in knowledge science, dashboarding usually seems like an unfavored however unavoidable work. Why is it unfavored? Dashboarding is much less technical (much less fancy) than evaluation and modeling, and extra repetitive. However why is it additionally unavoidable? It’s the first and must-have step to grasp any product, opening the gate to evaluation and modeling. It even helps construct belief with stakeholders as dashboarding is normally among the many first requests out of your stakeholders.
In the meantime, the problem of dashboarding can also be usually undervalued. I’ve seen quite a few dashboards constructed by colleagues up to now seven years. Surprisingly, not everybody does this ‘straightforward job’ nicely. You is likely to be questioning, isn’t dashboarding simply making a bunch of charts? Nicely, Sure and No. To construct a superb dashboard, it’s good to logically manage every visualization and simplify the advanced knowledge on your viewers. It’s extra about data-informed decision-making. Furthermore, a superb dashboard can all the time allow self-serve analytics and cut back tedious knowledge pull requests, benefitting the info crew in return.
On this article, I’ll share my prime 5 ideas for designing efficient enterprise dashboards that present readability, actionable insights, and lasting worth. The following pointers apply to any dashboarding instruments you employ — irrespective of it’s Tableau, Looker, PowerBI…
