Data Visualization, a mean to improved business
Looking beyond the Horizon
Increased efficiency and ROI are the two major factors sought by every business infrastructure, and It can be said that ‘Data’ is the initial and most important aspect of progress.
Only when you unlock the hidden patterns of data, you can help your company grow efficient. Day by day, the amount of incoming data is increasing to the extent that the executives often find it difficult to deal with. It is also believed that five years from now, the entire world will generate fifty to hundred times data and information sources generated as of today.
Imagine the advancement and growth one can achieve, if you can tap the potential of that huge pile of data and source them in order. Data Visualization helps you achieve that.
A Change that matters
The tools make it a child’s play when one needs to manage a huge pile of unstructured data. But choosing a tool is the difficult. The most important thing that a user needs to check if the tools features gives you enhanced insights for your data and their dashboard pools various data sources onto a single platform to give you a convenient yet strategic view of your day-to-day data visualization process.
And to move ahead in the Business World, data visualization like the ‘force within’ for marketers for making a stronger and better pitch. People, including the audience, that you want to reach out to, are besieged by information overload, and bombarded by thousands of words every day. It’s no wonder that the average person only reads about 28% of the text on a page. Conveying your content, especially content that includes useful data, in a visually appealing manner make people pay attention. Data Visualization brings life to your message and makes it stand out.
Data visualization is both an art and science. The rate at which data is generated has increased, driven by the rising information-based economy.
The history of data visualization can be said to have begun from the 2nd century C.E. From simple arrangement of data into columns and rows and evolved to the initial quantitative representations in the 17th century. According to the Interaction Design Foundation, French philosopher and mathematician René Descartes laid the ground work for Scotsman William Playfair. Descartes developed a two-dimensional coordinate system for displaying values, which in the late 18th century Playfair saw potential for graphical communication of quantitative data.
In the second half of the 20th century, Jacques Bertin used quantitative graphs to represent information “intuitively, clearly, accurately, and efficiently”. John Tukey and more notably Edward Tufte pushed the bounds of data visualization. Tukey with his new statistical approach: exploratory data analysis and Tufte with his book “The Visual Display of Quantitative Information”, the path was paved for refining data visualization techniques for more than statisticians.
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