Visualization uses story-telling in identifying new patterns, trends, and insights by transforming data into a visual context, in order to make informed business decisions. Data visualization has become the standard for modern business intelligence. It can be used to display data in more sophisticated ways like infographics, dials, maps, sparklines, heat maps, and detailed charts with interactive capabilities, enabling users to manipulate them or drill into the data to see and understand trends, outliers, and patterns in data. This is essential to analyze massive amounts of information and make data-driven decisions.
Obtain the data, whether from a file on a disk or a source over a network.
Providing structure for the data's meaning, to make it easier to understand it by format, tags, names, and indices.
Applying methods from statistics or data mining as a way to discern patterns or place the data in mathematical context.
Visualize / Generate Dashboards:
Visualization is made for representation of clearer and more insightful data.
Analyze / Interpret:
Analyze or interpret the final outcome to the team for them to have meaningful insights to the data.