Interactive Visualization enables the display and intuitive understanding of multidimensional data provides a variety of visualization chart types and enables users to accomplish traditional data exploration tasks by making charts interactive. Interactive Visualization implies the use of heat maps, geographic maps, link charts, and a broad spectrum of special purpose visualizations that surround processes that are inextricably linked to an underlying analytics.
Any enterprise at some points starts trending contextual data for making decisions affecting their operations on daily basis. With this trending, the business question which needs to be answered becomes the focus.A visual representation can be done in many ways but here the context matters for better understanding and better decision-making which is provided by Interactive Visualization. Interactive Visualization begins with a data presentation architecture that seeks to identify, locate, manipulate, format, and present data in such a way as to communicate its meaning optimally.
- 5 Key Properties of Interactive Visualization –
- The Novice User – Even the naive users should be able to examine the data and find all the patterns, correlations and navigate through the visualization easily.
- Driving Processes – The processes must be well defined. Phase completion should be visually shown and should be real-time.
- Data Must Tell a Story – Data must tell a story that instantly relates the performance of a business and its assets. The users should be able to select data and change perspective for a better result.
- Data Correlation – The trends which can be dynamically formed between multiple datasets should be easily found.
- Prescriptions – The users must be provided with at least some prescriptive analysis. They must also be prompted with the steps to follow to get the desired result.
Ref : http://www.forbes.com/sites/benkerschberg/2014/04/30/five-key-properties-of-interactive-data-visualization/#2b128fd744eb