Working in knowledge science, dashboarding usually looks 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 know any product, opening the gate to evaluation and modeling. It even helps construct belief with stakeholders as dashboarding is often among the many first requests out of your stakeholders.
In the meantime, the issue of dashboarding can also be usually undervalued. I’ve seen quite a few dashboards constructed by colleagues prior to now seven years. Surprisingly, not everybody does this ‘straightforward job’ properly. You is likely to be questioning, isn’t dashboarding simply making a bunch of charts? Nicely, Sure and No. To construct a superb dashboard, you’ll want to logically manage every visualization and simplify the advanced knowledge to your viewers. It’s extra about data-informed decision-making. Furthermore, a superb dashboard can at all times allow self-serve analytics and scale back tedious knowledge pull requests, benefitting the info workforce in return.
On this article, I’ll share my prime 5 suggestions for designing efficient enterprise dashboards that present readability, actionable insights, and lasting worth. The following tips apply to any dashboarding instruments you employ — regardless of it’s Tableau, Looker, PowerBI…