On Your Mark, Get Set, Go! At one point or the other, we have heard this. This is the call out to competitors at the beginning of a running race. It is a three-command start for a race. It will be unlikely that anybody that will go far this year will not put data first. Data for everything you are involved in. You can’t measure well without data. You are already on your mark, you are set, but what are you going for? For survival, data is the answer. Not just that, but data visualisation.
For the industry, data is our lifeblood. We need quantitative information to tell us who’s buying what, when, why, and what messaging is most effective for them. But even data analysts frequently have problems understanding exactly what the data is saying; our brains weren’t made to process vast amounts of raw numerical data this way. Now, technology is finally catching up to the “interpretation” part of data analysis; there are dozens of data visualisation tools on the market already, but in 2017, every business is going to want to start using them – the ones who don’t will be left at a significant disadvantage. The technology will be more sophisticated, and data analysis needs will be greater than ever.
Data visualization makes the job easy. The lines, the graphs, the colours etc explain so many things in few minutes. A pitch becomes easy; a survey analysis is now a child’s play.
Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments. Data visualization can also help Identify areas that need attention or improvement, clarify which factors influence customer behaviour, help you understand which products to place where, and also predict sales volumes. This is life made easy for brand managers, CMOs and marketers.
Data visualization is going to change the way our analysts work with data. They’re going to be expected to respond to issues more rapidly. And they’ll need to be able to dig for more insights – look at data differently, more imaginatively. Data visualisation will promote that creative data exploration.