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RapidMiner GmbH Stockumer Straße 475 44227 Dortmund, Germany http://www.rapidminer.com/
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RapidMiner GmbH

RapidMiner and CRMT Partner to Bring Advanced Analytics to The Adriatic Market

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Pioneering predictive analytics leader RapidMiner today announced a strategic partnership with CRMT, escalating RapidMiner's momentum within the EMEA market. The partnership combines RapidMiner's expertise in advanced analytics, especially in predictive analysis, with CRMT's reputable client success in the Adriatic region.

RapidMiner provides CRMT with a best-of-breed predictive analytics solution and the ability to work on larger datasets, connecting with more data sources than ever before. Different than competing products, the RapidMiner platform derives its extensibility via source-code availability and integration to other open-source solutions.

"Our mission is to always offer customers a holistic approach to their analytics and business management needs. Partnering with RapidMiner perfectly aligns with this mission and we are excited to deliver this new service to our customers in the Adriatic region," said Daniel Potocnik, CEO of CRMT. "Advanced analytics and predictive modelling provides a competitive advantage to users. These key tools offer support for sales, marketing, finance and risk management teams. With RapidMiner, we bring our regional clients the capability to develop a deeper and quicker understanding of their own customers and processes, adding a competitive edge against competition."

RapidMiner is a recognised leader in advanced and predictive analytics. Gartner Inc. positioned the company in the Leaders quadrant of the first "Gartner Magic Quadrant for Advanced Analytics Platforms," published February 19, 2014. [1]The report is available at http://rapidminer.com/....

"EMEA is a historically important region to us. Our partnership with CRMT further entrenches our predictive analytic applications within the area, offering best-of-breed analytics to customers within the Adriatic market," said Marcus Adams, RapidMiner head of channels and alliances for the EMEA region. "CRMT is well-known for its IT consultation and service expertise. This partnership promotes previously unseen business success across a number of organisations throughout the region."

RapidMiner offers highly scalable predictive analytics applications, including operational dashboards, metrics and performance reports in a single, easy-to-use platform that seamlessly integrates with popular enterprise data sources. RapidMiner's predictive analytics software helps companies across multiple industries in areas where advanced analytics can make a significant impact, such as churn reduction, fraud detection, predictive maintenance, sentiment analysis and more.

About the Magic Quadrant

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organisation and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

[1] Gartner “Magic Quadrant for Advanced Analytics Platforms,” by Gareth Herschel, Alexander Linden, and Lisa Kart, February 19, 2014

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RapidMiner GmbH

Pioneering predictive analytics leader RapidMiner is redefining how business analysts use all kinds of data, including big data, to predict the future. With an open source heritage, RapidMiner is one of today's most widely known and used analytics platforms, providing powerful solutions for a wide variety of industries. For more information, visit www.rapidminer.com.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio 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.