• Visualization

    Measure, monitor and visualize analytics.

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Welcome to Visualization

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When we talk about data visualization, we are talking about a kind of translator that helps communicate the insights offered by the data to people, by placing it in a visual context.

When data is rendered visually, we can easily spot trends and patterns that could have gone undetected in just a statistical form.

What's the next big thing in data visualization?

Watch the video! (2:38)

Best Practices

Say goodbye

to the simple bar graph

Visual display

should match the purpose of the data.

Trim the fat,

remove the clutter.

Keep the story


Understand how

to interact with the insights

"By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you're lost in information, an information map is kind of useful"

- David McCandless @ TED talk

It makes total sense that data visualization will give us more meaning, as 90% of information transmitted in the human brain is visual.

Did you know that we process visual imagery 60,000 times faster than text, which the brain finds easier to remember?

When we utilize Business Intelligence software, we draw on historical data to give us deeper insight into the factors influencing our business challenges or successes. We deliver reports of our findings via data visualization to ensure the message gets across to the right person in the most effective and memorable way.

"There is a magic in graphs. The profile of a curve reveals in a flash a whole situation – the life history of an epidemic, a panic, or an area of prosperity. The curve informs the mind, awakens the imagination, convinces."

- Henry D. Hubbard

"The art and practice of visualizing data is becoming ever more important in bridging the human-computer gap to mediate analytical insight in a meaningful way."

- Edd Dumbill

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