Viscovery Software Suite
Viscovery Software Suite, help customers uncover high value insights in complex data sets and offers a selection of software for predictive analytics and data mining designed to comprehensively address the needs of business and technical users.
Predictive Analytics Software
Viscovery Software Suite : Viscovery Software Suite, help customers uncover high value insights in complex data sets and offers a selection of software for predictive analytics and data mining designed to comprehensively address the needs of business and technical users. The Software suite consists of Viscovery Profiler, Viscovery Predictor, Viscovery Scheduler, Viscovery Decision Maker, Viscovery One(2)One Engine and Viscovery SOMine.
Viscovery Profiler offers explorative data mining, visual cluster analysis, segmentation, and profiling with features including Workflow Orientation, visual representation, statistical information and reports. Viscovery Predictor offers a generation of linear and non linear predictive models and scorings. The system enables workflow-oriented prediction, scoring, and non-linearity analysis within a project environment for creating, applying and evaluating prediction and scoring models.
Viscovery Software Suite
Viscovery SOMine offers explorative data mining based on Self Organizing Maps (SOM), Clustering, segmentation and classification. Viscovery One(2)One Engine offers Online and Real Time Integration of Viscovery Models and PMML Models. Viscovery Scheduler provides automation of analysis workflows for increasing reliability and usability and Viscovery Decision Maker enables browsing and editing models for defining and combining clusters with operational measures.
Viscovery Profiler and Viscovery Predictor, are provided to high-end users as convenient standard software to be used on Windows workstations. The Viscovery One, One Engine provides capabilities for integrating Viscovery models in multiple environments for real-time application.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.