Data Visualization Tools - Creating Powerful and Insightful Visuals

by Syntelli S. Marketing

Data visualization allows people to understand the significance of data by placing it in a visual context. It is commonly observed that in text-based data, trends, patterns and correlations often go undetected but it can be easily recognized and exposed with the help of data visualization tool. Data visualization tools today display data in a highly sophisticated way like infographics, dials and gauges, geographic maps, heat maps, detailed bar, pie and fever charts compared to charts and graphs used in Microsoft Excel spreadsheets. The sophisticated data interpretation may have interactive capabilities that allow users to manipulate them or dive deep into the data for querying and analysis. During the years of the big data trend, businesses accumulated massive amount of data and hence they needed a quick and easy way to get an overview of their data and this is where data visualization tools were quite a hit among the businesses.

This visualization tool plays vital role in big data and advanced analytics and is quite important in democratizing data and analytics and making data driven insights available to work-force throughout the organization. Being easier to operate than traditional analysis software, it has led to rise in business implementing data visualization tools on their own without any assistance from the IT. Visualization is essential especially when a data scientist is writing advanced machine learning or predictive analytics algorithms to visualize the outputs to monitor results and to ensure that models are performing as expected because visualizations of complex algorithms are usually easy to interpret than numerical outputs.

Data visualization tools are used in a variety of ways and most commonly it is used as a BI reporting tool. The visualization tool can be set up to generate automatic dashboards to track company performance across key performance indicators and visually interpret the results. With the increasing functionality of the visualization tools, these are being used as front ends for sophisticated big data environments. This tool also helps data engineers and scientists to keep track of data sources and to carry out basic analysis of data sets prior to or after more detailed advanced analyses. Speed is the key in businesses and data visualization helps in the understanding of large quantities of data by providing vital representations to the data. The visualization layer stops at the top of data warehouse and allows businesses to discover and explore data in a self-service manner.

Data Visualization tools not only facilitate to easily assess the data but also make it look interesting and presentable. With data visualization, businesses can have a quick overview of the data without spending hours on looking at the data and trying to figure out what they mean. Data visualization tools automatically create visualizations or allow businesses to create their own visualization.

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