Data Mining-specialist Viscovery success continued in 2011
[News Viscovery]
Vienna / Austria, March 2012 Vienna-based Viscovery Software GmbH reported successful results for 2011. As in the previous year, licensing generated 70% of the revenue. The SOM business (data mining based on self-organizing maps) underwent continued internationalization: over 90% of the volume was from international customers representing all continents. New customers acquired in 2011 include Qantas Airways, Oklahoma State Department of Health, iiNet Limited, Toyota Motor Corporation, Emirates Telecommunications Corporation, and Kissei Pharmaceutical Co., Ltd.
In addition, many research institutes and universities chose Viscovery in 2011, including University of Pretoria, University of Strathclyde, Osaka City University, Kyoto University, Tokyo Institute of Technology, and Micro Ram Enterprise. Product-distribution partnerships were further strengthened, in particular with Dynelytics (formerly SPSS Switzerland) which was extended to countries outside of Switzerland.
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Consulting companies use Viscovery in analytics services
[News Viscovery]
Vienna / Austria, August 2011 Consulting companies of all sizes have used Viscovery in diverse consulting projects for many years. Now Viscovery has entered into an agreement to provide Deloitte, the global professional services organization, with a Viscovery SOMine license, in connection with Deloitte’s AsOne client service offering (www.deloitte.com/asone).
The AsOne archetypes are presented in the book AsOne by Merdad Baghai and James Quigley, which was listed in the New York Times Top 10 economic books. These eight archetypes of work behavior were defined using clusters created with the Viscovery software from customer data.
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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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