In the pioneering years of Big Data, large corporate industries, small and medium sized enterprises (SME’s) acquired huge sets of data and needed the data visualization tool to help them get quick overviews of this massive data bank.ĭata visualization systems is playing an important role in advanced analytics involving large and complex data sets. The tool employed in data visualization is known as a data visualization software. When applied in business, it enables you to recognize patterns and relationships between several business variables. With user friendly interfaces and easy-to use features, the data visualization software is easier to operate than most conventional data science tools. They are also used to identify correlations and patterns between business performance and operations in an organization. Data scientists have come up with several ways to extract and analyze these data in its raw form, and one the methods of data analysis is data visualization.ĭata Visualization tools are useful in making data-driven insights, available to workers in an organization. It is estimated that the amount of data generated in the last 2 years far exceeds the amount generated in the entire history of the human race and it is estimated that by 2020, about 1.7 megabytes of data will be created every second by every person, resulting in an accumulated 4.4 zettabytes (44 trillion gigabytes) amount of data.īusinesses are trying to leverage on these huge amounts of data to improve business processes, which brings about the concept of data sciences. Data is becoming increasingly important with every passing minute and a huge amount of data is being generated every second across the globe. Data visualization is a term used to refer to the process of presenting structured data in visual or pictorial format such as charts or graphs. Data Visualization Software is business tool used to collect, manipulate, analyze raw data, and convert it into visual figures, charts and tables.
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