Data mining specialist Viscovery expands into the Life Sciences

[News Viscovery]

Vienna / Austria, May 2011 The data mining specialist Viscovery successfully established itself in the Life Science sector in 2010. In positive synergy with its parent company, Biomax Informatics, they carried out projects in the food industry and in pharmaceutical and medical research. In these fields, Viscovery® Data Mining with SOMs (Self-Organizing Maps) helps researchers find potential biomarker candidates by analyzing and clustering clinical and genetic data.

Viscovery's participation as a partner in the international CANCERMOTISYS research project studying the specific effect of drugs against stomach cancer (www.biomax.com/project/cancermotisys) is already in its third year. In this project, Viscovery is examining, among other things, the relationship between the motility of cancer cells and gene expression data.

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Data mining specialist Viscoverys globalization efforts on track

[News Viscovery]

Vienna / Austria, April 2011 With strong net revenue growth, the Vienna-based Viscovery had one of the best financial years in its history. The Austrian data mining specialist & SOM expert cites its licensing business, which makes up over 70% of sales, as the reason for their growth. Over 90% of Viscovery's business takes place internationally. In addition to Australia and Japan, the company extended its business to Arab countries in the last year. Besides financial services and telecommunications, Viscovery successfully positioned itself in the life sciences by building on positive synergy with its parent company, Biomax Informatics AG.

Selected new customers include: National Australia Bank, Insurance Australia Group, Etisalat Group (Emirates Telecommunications Corporation), as well as renowned international research institutes such as the Western Australian Institute of Medical Research, consulting firms like Deloitte and Wolters Kluwer, and many universities.

A particularly elegant example of the use of Viscovery SOMs can be found in the book AsOne by Merdad Baghai and James Quigley, which is listed in the New York Times Top 10 economic books. The book presents eight archetypes of work behavior that have been defined on the basis of clusters created with the Viscovery software.

In the commercial sector, classifications of socio-demographic data or data from social networks are also increasingly used. Users can find an entertaining demo of such a classification on viscovery.net/demos/music-styles, where the visitor can answer a few simple questions to classify his or her preferred styles of music. Viscovery created the demo using a small portion of a data set provided by the Parship online dating service.

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Viscovery boosts sales and profit

[News Viscovery]

Vienna / Austria, July 2010 Despite the global financial crisis, the Austrian specialist for data mining and predictive analytics reports for 2009 a considerable growth in sales, profit and market share and continues to demonstrate success in the international arena.

New customers acquired in the reported period include Northrop Grumman Information Systems (USA), Deloitte & Touche Forensic & Investigative Services, Inc. (Canada) and Telstra Corporation (Australia). An additional large customer in Australia has entered into final negotiations.

This period also saw the release of Viscovery Suite version 5.2, which includes a new licensing system and further improvements for handling and usability as well as enhanced features for microcluster prediction and high-dimensional data analysis features that are essential for text mining and clustering of gene expression data.

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Viscovery Software GmbH relaunches corporate website to serve predictive analytics customers

[News Viscovery]

Vienna / Austria, June 2009 Viscovery Software GmbH confirms its role as a leading provider of data mining and predictive analytics solutions and launches a website update that increases the focus on advice and instruction for users of data mining solutions. In addition to the usual product and company presentation, the new site provides customers with extensive technical information about data mining applications, including publications, scientific articles and interesting links about data mining and self-organizing maps (SOMs). Online demonstrations introduce how to use the software and provide details about particular applications, including an analysis of website visitors based on their click data.

The website update has been designed to streamline visitor searches for relevant information and provide visual, comprehensive information about the software, its application and technology background. Online demos, frequently asked questions, data sheets and an exhaustive list of references provide valuable information for current customers and visitors interested in SOM technology and predictive analytics.

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