offers real-time, easy-to-read insights into an organization’s key
performance indicators.
Dashboard
Dashboard Principles
- Crafting a narrative from the data.
- clean and well-thought-out layout and design.
- interactive to enhance user engagement.
are numbers or figures more commonly shown in tabular
format.
Data
are your charts, graphs, maps or infographics.
Visuals
are commentaries on your findings conclusions and recommendations from the data
Narratives
if your purpose is to explain what has happened and its
meaning relevance to your audience, you can show this?
you can show
data accompanied by some narrative.
If your purpose is to Enlighten or to help your
audience easily see patterns , trends and outliers.
Combine data with visuals
If your aim is to Engage your audience,
use visuals and narrative
Finally, if your objective is to drive Change,
you need a combination of right visuals in narrative with
the right data
are measures that provide data on various aspects of an
organization’s standard processes and resources. They offer information
but may not necessarily be critical for achieving specific goals.
Metrics
are specific metrics that have been carefully pinpointed to align with an organization’s objectives and targets. They are “key” because they have a significant impact on moving the organization forward.
They provide valuable insights into what an organization needs to achieve its goals and help define its strategy and focus.
Key Performance Indicator
Data Visualization Best Practices
- Less is more. Make every pixel and word count.
- Avoid decorative use of graphics
- Avoid three-dimensional chart types.
- Avoid pie charts
- Start bar charts at zero
- Use bullet graphs instead of gauges to save space.
- Use sparklines to show trends on the X-Axis.
- Show time going from the left to right on the X-Axis.
- Use color only to highlight or accentuate meaning.
Charts for Comparison
(evaluating values across various categories and over time.)
Bar Line and Line Charts
Charts for Composition
(individual segments contribute to the entirety of something.)
Pie Chart and Stacked Area Chart
Charts for Distribution
(display frequency how data spread out over an interval or in grouped form.)
Histograms and Heat Maps
Charts for Relationship
(the association or correlation between two or more quantitative variables)
Scatter Plot and Multiple Line Chart
keen interest in evaluating values across various categories
and over time.
Comparison
primary objective is to illustrate how individual segments contribute to the entirety of
something, then the underlying business inquiry pertains
Composition
methods are ones that display frequency how data spread out over an
interval or in grouped form.q
Distribution
When we seek to understand the association or correlation between two or more quantitative
variables, we employ visualization methods focused on
Relationship
