Best-of-breed solutions for high-performance data mining

Viscovery data mining brings self-organizing maps (SOM) together with classical multivariate statistics in one of the most powerful systems available for predictive modeling and explorative data mining. More than 15 years of experience with applications in a wide variety of industries, resulting in a deep understanding of analytical methods, have been applied to the design, development, and implementation of Viscovery products. Numerous enterprises trust the excellence and reliability of Viscovery consultants and appreciate their experience in supporting data mining activities.

The Viscovery system provides built-in scalability: Statistical information in databases is compressed to data substrates of only a few megabytes, allowing huge quantities of data to be visualized and handled on a single screen. Data models created from millions of data records have the same appearance as maps made from smaller samples. Based on this visual representation of ordered data records, Viscovery provides a diversity of tools for clustering, prediction and statistical analyses. 

Discover the world of Viscovery

The unique visual approach of Viscovery addresses the needs of users with different technical backgrounds, from statistics experts and researchers to business users who need to communicate their decisions quickly and effectively to multiple departments.

Choose Viscovery products and services for the solution that best matches your data mining needs:

• Viscovery Data Mining Suite — comprehensive predictive analytics designed for enterprise requirements
• Integration and Deployment — integration of predictive models in operational environments
• Consulting Services — comprehensive support for predictive analytics projects
• Viscovery SOMine 5.2 — affordable data mining for small businesses, consultants and scientists

Use the power of Viscovery to turn your data into knowledge

The Viscovery products and services have been used successfully in a variety of applications in the telecom, banking, insurance, retail, mail-order, media, life sciences, and process industries for the following:

• Predictive marketing
• Explorative data mining
• Customer behavior modeling
• Demand chain modeling
• Risk analysis
• Business performance analysis
• Text mining
• Industrial process optimization
• Database imaging and querying
• Data quality assurance

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