Certainly one of the mentras echoed here at Dashboard Insight, see Becoming a 'BI PI', is to know who you are presenting information to. Understanding what insights/information are critical to them, what information is irrelevant, and how they access/interact with that information is essential to the success of any business intelligence project.
Ryan Morrill from Forrester explores the importance of catering data visualization to your audience in a recent blog post:
When you’re creating content — whether it’s a film, a sales presentation, or an article on maximizing your Thanksgiving leftovers — it’s always important to consider who your audience is; this also holds true for data visualization. I’ve touched upon this in my previous blog posts, but let‘s take a closer look at the audience spectrum specific to data visualization.
Imagine a spectrum: On one end, let’s say the extreme left, we have the analysts — the scientists — starved of data and wanting as much of it as possible. In fact, there is too much data, and they need an easier way to scan it all to help illustrate relationships and patterns. This is where data visualization can help.
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