When Excel was originally developed it was 1995. Yes, around 30 years since.
The amount of data processed today in a routine analysis is gazillion time the amount of that time.
Yet, most of the visualization is based on the same software, though updated, and with the same approach.
With nonchalance we are still rendering data as if we were in 1985.
Visualize data this way has become a commodity for agencies and for clients as well.
It’s easier to adopt a standard graphs model to present to clients, it’s easier not to tackle the internal client with challenging visuals.
When handling large amount of data the translation of data into information intelligible for the end user calls for a new aesthetic in representing.
The ability to navigate through data, to represent them in depth, to highlight correlations, all these goals can be achieved only through a well structured system of visualization that goes far beyond the simple choice between bars, pies, lines stacks.
How to develop a compelling visualizing strategy really able to be different and outstanding?
It is necessary to identify a strong unique perspective.
Data can be tackled from several points of view and this could result in a huge loss of time and focus without a clear idea of the final task to be completed.
We have to learn from the Renaissance architectures building innovative and daring structures starting from a unique perspective or from modern filmmakers as Stanley Kubrick
To look for visual inspiration from the broadest number of sources possible is a key to think outside the box and adapt visualization to the strategic thinking and not the other way round.
To get inspired by painters, video-makers, writers of any age is the path to success.
Lately the way presentations are given changed dramatically with a significant reduction of the number of words and a choice of images able to transfer thoughts at a glance. So why do something different when presenting business data from the larger size to the most granular one?
As pictures are made of small tiny pixels, the higher the number of pixels the best is the quality of images.
Tiny details always deliver the most complete outlook: Big data are composed by Small data.
Being able to highlight meaningful details is the role of a functional visualization
The shift from interaction quantity (how many seconds the attention span lasts) to interaction quality (how engaged is my audience) is the present in the noisy environment we live in.