Simplicity: What good is a data visualization/chart if it doesn’t make sense or is difficult to understand? A good tool should provide visualizations that help viewers understand what the data means. There must be a way to transmit data into the visualization or business intelligence (BI) tool. The ability to comprehend information quickly, identify relationships and patterns, and pinpoint emerging trends using dynamic visuals. Enable the creation of interactive dashboards featuring common chart types, using data from various sources. At the bare minimum, data visualizations products should offer all or most of the following features: Regardless of industry or size, all types of businesses are using reporting, querying and data visualization to help make sense of their data. Whatever the need, there are tools and applications there to provide the graphics that people need to do their jobs. The network head, on the other hand, is more interested in bandwidth and latency. 
The security chief wants to know about potential incursions, threats blocked, and anomalous traffic. The storage manager might want to see capacity numbers, free space available, and throughput. Within IT there are many different needs for visualization. A sales manager might want to have at his or her fingertips a different set of charts and numbers than the CFO, for example. Dashboards can be customized to the needs of different roles and lines of business, too. They range from simple spreadsheets that automatically translate data into charts, to far more complex tools that slice and dice the data a great many ways.
There are plenty of data visualization tools out there. That data needs to be subjected to analysis, viewed by a human to reach some conclusions, or summarized into charts, graphs, and other visual elements in order to convey meaning. Digital data is no more than a bunch of bits and bytes.
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