WHY IS VISUALISATION IMPORTANT?
Imagine a table with umpteen columns and rows, with a number in each cell. Let’s now use this table to find a trend in this data, a trend that shows where we can push the business to gain more customers, or to increase revenue. I thought so… that’s a tough ask right.
Sorting the columns, or using filters to hide data that you do not need to see helps to remove un-needed data. And a step on from this is to create a graph, and plotting data versus time to look for trends. Reporting has come a long way, but even in this day the concepts are similar, it takes time to collect your month-end data and plot it accurately and compile it into a report that your analysts can use.
Analysing data in spreadsheet form is not always practical, as quite often the data set is too large to be seen in one snapshot or on one page. From a user standpoint, we’re looking at the data to try to identify relationships and patterns that may not be immediately obvious. We could plot this data in a pie chart, or a line graph as a starting point to give us a depiction of how things relate.
Plotting data on a chart helps us to absorb data trends into our minds, and helps us to remember key information clearly. We know from reading other literature that ‘93% of all human communicaton’1 is non-verbal, and that the brain processes visual information up to ‘60,000 times faster’1 than it takes to decode text. Both of these points show how visualisations can have a much greater impact on our perception than one would realise.
The second aspect here is that these visualisations help us to communicate the story to others in an efficient way, either to back up a theory or to drive change within the business.
Data visualisation software is an extension of these principles, and brings the concept into a modern age. Reporting templates can be created, such that when new data arrives it simply populates all the correct cells and graphs in the visualisation. It allows users to view, manipulate and read trends directly within the app in a manner which is almost real-time. As a tool, it is much more powerful in the sense that it allows access to much wider audience, allowing data to be plotted in myriad ways.
In summary, visualisation within data analytics is not a new phenomena. Scientists, analysts, engineers and the like have been utilising graphical methods to display and analyse data in order to comprehend information quickly. The use of data visualisation software adds a new dimension to this, allowing users to quickly build powerful visualisations quickly in order to pinpoint emerging trends and communicate the findings quickly.
Harness deliver visualisations that transform your data into actionable insights. We focus on delivering the data that you need, and putting it into the hands of your business analysts.
10th September 2016