![]() The viewer can easily navigate the chunks and understand their significance.īusiness meetings that discuss visual data tend to be shorter and reach consensus more easily as compared to those that focus on only text or numbers. Color, line weight, scale, and placement are used to bring out the conceptual meaning of these “chunks”, all helping to match content to its hierarchy of importance. So a data visualization creates small ‘packages’ or units of information to convey sets of ideas that can be stored in your viewer’s short-term memory. On the other hand, if you have systems in your organization to collect data but no effective way to present it to stakeholders, then you are unlikely to get the expected business benefits, as users struggle to make sense of unwieldy and hard-to-understand reports. Our addiction to our smartphone or tablet screens has led to shortened attention spans, so receiving information as a ‘snapshot’ is helpful. Once we see something, we internalize it faster. We are also able to appreciate the interrelations between different data points more easily when we view their visual representations. The reason for this is that the neural process required to process ready images is much easier than creating our own visualization from text or numbers. When presented effectively, we are able to grasp large volumes of data literally in the blink of an eye.
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