Visual Analytics

Visual Analytics

Customer insight and strategy is best determined by using models that predict your customers' behavior. Your customers may be individuals or other businesses, but they are the most important assets of your business. It makes no difference if your products are goods or services. Your customers' behavior determines their buying patterns, their communication preferences, your retention strategy and their relationship value to you.

Visual Analytics creates the data marts and analytical models that enable you to understand these characteristics.

Temporal Super Graphics

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Spatial Super Graphics

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Pivotal Super Graphics

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Inspatial Super Graphics


Quartal Super Graphics

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Classical Super Graphics

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"Most companies have massive amounts of data at their disposal –yet fail to utilize it in any meaningful way. But a powerful new business tool –analytics- is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results."
Analytics at Work – Thomas H. Davenport, Jeanne G. Harris

"This new discipline (visual analytics) combines automatic data analysis with novel visualization techniques, thus making the best possible use of the different abilities of man and computer. The computer's task is to sequentially process large volumes of data and convert them into a visual form of representation that people can perceive and understand. The user can then focus on recognizing patterns, and evaluating and analyzing the observed data. This makes it easier to make the right decisions quickly."
Prof. Dr. Stefan Wrobel, Fraunhofer Institute for Intelligent Analysis and Information Systems