Three Reasons Why “Visualization” Is The Biggest “V” For Big Data

Not everyone imagines big data in the same manner. If you Google it, you will see images from The Matrix, a bunch of one’s and zero’s, and a few infographics, but not a single, real visually comprehensible image. 

What is BIG DATA?

A CEO will tell you it’s like an airplane’s black box and a data scientist will give you an infographic and a huge, incomprehensible definition. Why? Because this term has many different meanings. Big data describes our everyday behavior; it keeps track of the places we go and the time we spend on our favorite activities. These extremely large sets of information can reveal new incoming trends, patterns, and associations.

So, why is Visualization the biggest “V” for it? 

1. It improves data understanding

Whether presented as a picture or as a graph, data visualization is the key ingredient that helps the company’s decision makers to come to terms with difficult, new concepts, discover new patterns, and react properly, which is why every company needs a data visualization service.

Situation: You just got three months worth of data about your customers’ habits, behavior, wants, and needs. If you just try to go through the data one spreadsheet at a time, you might spend days or even weeks in attempts to compile that data into significant information your company can use. If that same data comes to you in a graphical format, you will see what you need almost instantly.


2. It increases productivity

A picture is worth a thousand words – and more. If your business takes a sudden dive, you need to pull out data and place it into a bigger context in order to fix the problem. When faced with multitudes of information, it is much easier to see data in a physical form than it is in spreadsheets. In time, big data visualization will increase the productivity of your organization and prevent failures.

Situation: Offline sales of your products have suddenly gone down while online is unaffected, and your advertisement hadn’t changed. If you pull out all the “surrounding” data and place it into one visual, you will be able to see that your offline sales also went down; for example, because of a combination of bad weather and construction near your store. If you had this visual in time, you might have taken measures to prevent the result.

3. It helps you understand your customers

When you remove all the unnecessary layers from the data you have about your customers, you can narrow it down to key ingredients for your business – you will be able to see which products did not sell, which sold more, and in which direction you should develop them. By extracting the data into visualizations, you will realize much of the information about your users because the data that you need is already there.

Situation: You need to launch a new product, but early tests are showing a lack of interest in your target demographic. You know that somewhere in the data you have lies the solution to making your new product interesting to your users. Data visualization is the key that will enable creative exploration of the information you have at your disposal.

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