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Press release Box-ID: 860298

prudsys AG Zwickauer Straße 16 09112 Chemnitz, Germany http://www.prudsys.de
Contact Ms Denise Seifert +49 371 270930
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prudsys AG

Swiss students win gold and silver at the DATA MINING CUP 2017

prudsys AG selected the winners of the DATA MINING CUP 2017 on 27th June in Berlin: A Swiss student team from the École polytechnique fédérale de Lausanne placed first at the world renowned student competition for intelligent data analysis

(PresseBox) (Chemnitz, )
Students from the École polytechnique fédérale de Lausanne are taking home the top prize at this year’s DATA MINING CUP (DMC for short). The Swiss team and its prediction model for the sales performance of a mail-order pharmacy prevailed over 201 other teams from 48 countries. Second place was also secured by a Swiss team, this time from the Eidgenössischen Technischen Hochschule Zürich. Students from Southeast University in China captured 3rd place. The remaining top ten places went to students from a variety of educational institutions in the UK and Germany: University of Oxford (4th place), Universität Potsdam - Hasso Plattner Institut [University of Potsdam - Hasso Plattner Institute] (5th and 6th place), Universität Mannheim [University of Mannheim] (7th and 8th place), Technische Universität Dortmund [Technical University of Dortmund] (9th place) and the Karlsruher Institut für Technologie [Karlsruhe Institute of Technology] (10th place).

prudsys AG specializes in real time personalization in retail and has been running the world-renowned competition for intelligent data analytics for 17 years. The DATA MINING CUP combines theory and practice: up-and-coming analysts from all around the world test their knowledge in the field of data mining by way of a practical task. This year, students used anonymized historical data to develop a prediction model for the sales performance of a mail-order pharmacy that dynamically adapts its prices. Competitors had six weeks to work on the task and the DMC ended on 17th May this year.

The awards ceremony for the top ten teams took place as part of the evening program at the prudsys personalization summit on 27th June 2017 in the nhow Hotel in Berlin. In addition to the awards, the top three teams took home cash prizes of 2,000 Euros, 1,000 Euros and 500 Euros. The event is touted as the leading event for news and trends in the field of omni-channel personalization in retail. Many industry experts and companies took part, including bonprix, Conrad Electronic, Douglas, Media Markt and Thalia.

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prudsys AG is the leading supplier of omni-channel personalization in retail. The prudsys Realtime Decisioning Engine (prudsys RDE for short) is the only software solution capable of maximizing customer value across all channels in real time.

Founded in 1998, the company is a pioneer in the field of real-time personalization and is actively involved in the development of online shopping from the beginning. Thanks to the interconnection of recommendations, marketing automation, and dynamic pricing, the prudsys RDE offers customers in over 200 online shops around the world a unique shopping experience.

prudsys AG is the holder of numerous patents and places great importance on cooperation with renowned scientific institutions. The company specializes in realtime analytics and is a member of the DMG and OMG standards committees, directly influencing the development of guidelines in intelligent data analysis.

Every year since 2000 prudsys has organized the DATA MINING CUP. With the internationally renowned competition for intelligent data analysis and forecasting the in Chemnitz / Germany based company supports hundreds of universities and thousands of students in gaining valuable practical experience.

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The publisher indicated in each case is solely responsible for the press releases above, the event or job offer displayed, and the image and sound material used (see company info when clicking on image/message title or company info right column). As a rule, the publisher is also the author of the press releases and the attached image, sound and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.