But too much information will hurt your chances for getting something done.
have up-to-date data that is dynamically presented to a customizable interface.
On mobile, you have this much space.
On a desktop, you may have that much space.
30 metrics, probably too many.
One metrics across the entire dashboard, not enough.
you also have to make sure that you have enough real estate.
Give the information the space that it deserves.
which mathematicians have helped us identify and visual artists replicate.
Where you put information has a profound impact on understanding.
most important information going in the top left corner.
visualizations structured, so that links the data.
operational processes that support it.
which may be mathematical, geographical, organizational, or functional.
And grouping structures sorts information based on hierarchy.
supporting detail following on the right.
accessibility to an otherwise haphazard dashboard.
others allow you to drill deep into the details.
interpret the data for themself.
All dashboards should break information into bite size module expressions.
They should move from key metrics to context to breakout detail.
to draw our eyes to what is most important.
to learn how to understand the dashboard, then your design has failed.
Dashboards should empower users to act on information.
They should be relevant for all kinds of users.
the users don't misinterpret the data.
You may be nodding your head and saying, well, this sounds straightforward.
the page display excessive positions and detail.
Don't put a wide context.
Use unnecessary decorations, color, and writings.
And don't highlight what is important.
that will negatively impact the user's experience.
Now, let's talk about the functional attributes of a dashboard.
to get more information than what is displayed on the page.
sort the data based on the particular categories and values.
Compare two or more subset of the data side by side.
Alert users when metrics reach predetermined levels.
Don't underestimate the value of highlighting bad things in red.
export the information to more advanced deporting software tubes.
include networth diagrams and other advanced visualizations.
we are in an era of information overload.
Be cheaper and cheaper tools available for creating visualizations.
Today the issue having actionable data.
Wrote one of the earlier books on best practices for dashboard design.
Let me close by offering a brief summation.
First, benchmark your KPIs with industry standards.
that the metrics you are tracking are the ones that matter.
And when will it be refreshed?
So, wrap your metrics with contextual metadata.
Third, great information isn't used, when is visuals poorly.
Validate the design of your dashboard with a usability specialist.
Fourth, create visual tools that prioritize and rank exceptions.
they don't have to go fishing for information.
by integrating in user's comments.
a static report, and the self service coupe level for all like analysis.
Seventh, as we discuss, choose the right visualizations.
user can access the same navigational part as.