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Viscovery announces the successful implementation of data mining for Mediaprint optimized CRM
[News Viscovery]
Vienna / Austria, April 2009 Viscovery Software GmbH, a leading European predictive analytics company based in Vienna, announces the successful implementation of a data mining system for Mediaprint, one of the largest publishing houses in Austria. The data mining software is a part of Mediaprint's new customer relationship management (CRM) system and allows integrated predictive modeling and explorative data analysis of customer data for use in targeted marketing activities.
Mediaprint has been using the Viscovery data mining system and consulting package since 2007, to optimize customer service, campaign management, and actions targeted to newspaper subscribers. With the implementation of Viscovery, we are now able to perform customer analytics quickly and efficiently in-house for both our newspapers Kronen Zeitung and Kurier, Hans Frohner, Head of Statistics and Analytics at Mediaprint said. Behavior-based segmentation and scoring of customer loyalty have become indispensable for successful customer acquisition campaigns and for our customer retention programs.
Viscovery, a workflow-oriented solution for data mining, provides comprehensive capabilities for exploring customer behavior, creating scoring models, defining customer segmentations, and automating analytical workflows. The ease of creation and handling of models, the visual model representation and advanced analytical functions allows Mediaprint to use relevant aspects of their accumulated data for marketing and media optimization, to develop and assess targeted campaigns, as well as to facilitate decision making processes based on CRM information.
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Viscovery Software GmbH included in leading industry analyst firm’s Magic Quadrant 2008
[News - Viscovery]
Viscovery's visual workbench extends data mining to business users
Vienna / Austria, July 2008 - Viscovery Software GmbH, a leading provider of data mining and predictive analytics solutions, has been positioned by Gartner, Inc. in the Magic Quadrant for Customer Data-Mining Applications1. In the report, international data mining vendors were evaluated based on their completeness of vision and ability to execute. In particular the companies' products and services were evaluated, as well as their market responsiveness and track records. Gartner's Magic Quadrant 2008 for Customer Data-Mining Applications includes eight companies worldwide.
"We believe our listing in the Magic Quadrant by Gartner confirms our ability to deliver proven predictive analytics solutions that help our clients easily and quickly evaluate their data and predict future customer behavior," said Gerhard Kranner, CEO of Viscovery Software GmbH. "With the recent launch of version 5 of the Viscovery line of products, we have taken a step further in our mission to make our intuitive visual data mining solution a strategic instrument for a wide range of users."
Intuitive predictive modeling and scoring accuracy set Viscovery apart
The Viscovery suite for visual data mining and predictive analytics covers all functions needed for customer analytics projects - from clustering, customer profiling and segmentation, through scoring and non-linear prediction, up to automatic generation and real-time integration of models. The interactive project environment supports effective model management and contains standard workflows with default parameterizations, which allow simple click-through usage and can be re-used as process patterns.
The robust, high-performance software combines statistical methods with Self-Organizing Maps (SOMs), which allows huge quantities of data to be visualized and handled on a single screen. This intuitive visual approach enables even statistics laymen to explore complex data, recognize relationships, create scoring models and define target groups. Models can be easily deployed in real-time applications and flexibly integrated in verticals for specific application areas.
Successful clustering of spatial failure patterns in semiconductor production
[News - Viscovery]
Vienna / Avezzano, May 2008 - Micron, one of the world’s largest semiconductor manufacturers, successfully uses Viscovery SOMine for clustering of spatial failure patterns.
The industrial manufacture of integrated circuits is a complex and costly process. Continuous high-quality output and high yields are essential for successful production. Product defects, therefore, need to be detected at an early stage of the production process. Defect patterns on wafers are an important source of information for the identification of production problems.
An important step is to isolate clusters of similar failure patterns and assign individual defects to distinct failure classes. Using Viscovery SOMine, Micron obtained very good results in clustering shading patterns of failing wafers.
Traditionally, defect recognition is performed by yield analysis engineers who inspect the electrical failure map of each wafer. This manual approach is not only time consuming and expensive, but also leads to high levels of misidentification; thus, Micron aims to develop systems for automatic defect recognition.
Free 30-day licenses of Viscovery SOMine available
Viscovery is offering fully functional 30-day trial licenses at www.somine.info for users to explore the capabilities and powerful performance of Viscovery SOMine 5.0 for free.
About Micron
With net sales of $5.69 billion in 2007 and 22,600 employees worldwide, Micron is one of the world’s largest companies focused on memory, storage and imaging semiconductor products. Since 2006, Micron has successfully used the Viscovery software for the analysis of failure patterns in semiconductor production.
About Viscovery Software GmbH
As one of the first data-mining companies in Europe, Viscovery (formerly eudaptics software gmbh) is among the leading vendors of predictive analytics solutions. Since September 2007 Viscovery has been part of the Biomax group.
The Viscovery suite contains unique patented technology for exploratory analysis and statistical modeling of complex data. Comprehensive workflows support the generation of high-performance predictive models, which can be integrated in real time and updated automatically.
For many years, the Viscovery software has been used by more than 300 customers in diversified areas ranging from banking, insurance, telecommunications, industry, media and retail to research organizations and universities.
Explorative data mining powered by Viscovery for SPSS users
[News - Viscovery]
Vienna, May 2008 - The data mining vendor Viscovery Software GmbH announces the availability of its data mining module Viscovery® SOMine as an Edition for SPSS® Users. The product gives SPSS users more exploratory data mining power and connects to SPSS software seamlessly.
For SPSS users who need additional data mining functionality and for SPSS Clementine users who want to explore data visually, Viscovery SOMine Edition for SPSS Users is the ideal add-on!
Viscovery is known for its intuitive approach to the exploration and modeling of high-dimensional data and - in addition to a large variety of powerful features - provides workflow guidance for the following:
- Explorative data mining
- Visual cluster analysis
- Interactive segmentation
- Classification
- Predictive modeling with Self-Organizing Maps
With Viscovery SOMine 5.0 Edition for SPSS Users, the leading data mining system based on Self-Organizing Maps is now available to SPSS users at special, attractive conditions.
For more information visit spss.somine.info and try the Viscovery SOMine software for free for 30 days.
SPSS and other mentioned SPSS products are registered trademarks of SPSS Inc.
Viscovery is a registered trademark of Viscovery Software GmbH.