What a data dashboard is (and what it isn't)
A data dashboard is a panel that pulls together information from one or more systems and displays it so it can be read at a glance, in order to make a specific decision. It isn't the same as a spreadsheet with charts: a spreadsheet shows what someone entered once; a dashboard updates with the real data from your systems, without anyone having to rebuild it every time.
Why a good-looking dashboard is useless if it doesn't answer a question
It's easy to build a panel with lots of metrics and little value: sales, inventory, cash, website visits, all lumped together, with nobody quite sure what to look at first. A useful dashboard starts from a specific business question—which product brings in the highest margin? which customer is about to stop buying?—and is built around that question, not the other way around.
Which data to connect first
You don't need to connect every system in the company on day one. It's best to start with data that's already reasonably consistent (a sales system that records information properly, for example) and leave the messier data for later. A dashboard that mixes reliable data with unreliable data shows both with the same visual confidence, and that's worse than having no dashboard at all: it builds trust in a number that doesn't deserve it.
How to build a dashboard people actually use
- Pick a single business question for the first panel, not ten.
- Identify which system that data comes from and how reliable it is today.
- Define who will look at it and how often (a daily dashboard for sales isn't built the same way as a monthly one for leadership).
- Test it with the person who will use it before calling it done, and adjust based on what they really need to see.
A hypothetical example, just to illustrate the idea: a company builds a dashboard with twelve different metrics, neat and well designed, but nobody on the team knows which one to check first each morning. They end up going back to the same old spreadsheets, not because the panel is poorly made, but because it doesn't answer a specific question for anyone in particular.
Common mistakes that make it decorative
- Showing lots of metrics with no hierarchy, instead of the one or two that truly matter to that person.
- Connecting data that nobody validates or corrects when it's wrong.
- Building it once and never revisiting it when the business question behind it changes.
- Designing it for "management in general" instead of for the specific person who will look at it every day.
Further reading
If the underlying concept still isn't clear, start with What is business intelligence and what it does for an SMB: it explains the pieces that make up the full practice, of which the dashboard is just one part.
Wrapping up: your next step
If you've already identified the question a dashboard should answer in your company, the next step is to see where that data comes from and how reliable it is today. That's what our technology assessment is for: we look at your current data and tell you which panel to build first. Book your technology assessment or, if you'd rather take the first step on your own, try the self-assessment.
