Human brain understands information drawn from pictures more easily than from written sentences, essays, spreadsheets etc. You must have seen traffic symbols while driving… why do they have only one picture instead of writing a whole sentence like 'school ahead', 'deer crossing' or 'narrow bridge'? Because you as a driver can grasp the image faster while keeping your eyes on the road.
Over the last 25 years, technology has given us readily available popular methods like line, bar, and pie charts showing company progress in different forms, which still dominate the boardrooms.
Data visualization has become a fundamental discipline as it enables more and more businesses and decision makers to see big data and analytics presented visually. It helps identify the exact area that needs attention or improvement, rather than leaving it to the leaders to interpret as they want.
Until recently, making sense of all of that raw data was too daunting for most, but recent computing developments have created new tools like Tableau and Qlik with striking visual techniques, especially for use online, including the use of animations.
There is a wealth of information hiding in the data in your database that is just waiting to be discovered. Even historical complicated data collected from disparate sources start to make sense when shown pictorially. Data scientists do a fantastic job of analyzing this data using machine learning, finding a relationship but communicating the story to others is the last milestone.
In today's digital age, we as consumers generate tons of data every day and businesses want to use that for hyper-personalization, sending the right offers to us by collecting, storing, and analyzing this data. Data visualization is the necessary ingredient to bring the power of this big data to the mainstream.
It is difficult to tell how the data behaves when it's left in the database. Only when we apply visualization via graphs or charts do we get a clear picture of how the data behaves. Data visualization allows us to quickly interpret the data and adjust different variables to see their effect and technology is increasingly making it easier for us to do so.
The best data visualizations are ones that expose something new about the underlying patterns and relationships contained within the data. Data visualization brings multiple advantages such as showing the big picture quickly with simplicity for further action.
Finally, as they say: 'A picture is worth a thousand words', and it is much important when you are trying to show the relationships within the data.
Data is the new oil, but it is crude, and cannot really be used unless it is refined with visualization to bring a new type of gold nugget.