Visual analytics combines advanced methods of statistical analysis with visual interfaces that help facilitate the understanding of large amounts of data.
Why should we use visual analytics?
Technological advances have made it possible to track and store more data than ever before. This is an exciting opportunity, but humans are not wired to read and interpret data in its raw form. Visual analytics tools make it possible to identify insights in even the largest data sets – in turn making the data valuable.
To help our clients maximize the value of their data, Playfair Data guides them through the following visual analytics process:
We think of visual analytics as a mountain sitting next to a lake – a data lake, of course!
When you stand right next to the edge at the base of the mountain close to individual data points, you can’t see patterns or how the data fits together. If you’re able to reach the summit of data visualization – the key to translating raw data – you gain a whole new understanding that helps drive decision-making.