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RapidMiner Qlikview integration!

XomniaNewsRapidMiner Qlikview integration!

RapidMiner Qlikview integration!

RapidMiner QlikView – two-way integration connector.

RapidMiner_QlikViewToday we launched our two-way integration of QlikView and RapidMiner. With this connection we created the number one Big Data Analytics Business Discovery platform. With machine learning, businesses can capitalize on information that would otherwise require an army of people to study, interpret and act on.

“By using both QlikView and RapidMiner in most of our projects, we felt the urge to truly integrate them with eachother. We decided to go for it with our skilled team of data scientists and software developers. We succeeded and are excited to share this with QlikView and RapidMiner enthusiasts!” – William van Lith (Technical Partner – Xomnia)

Thanks to RapidMiner’s connection with Hadoop (via Radoop), it is totally big data proof too!


The key benefit to the user is that he (or she) now is able to make selections within QlikView that drive predictive outcomes back into QlikView in a seamless manner. Xomnia has developed a method that by-passes the reload process to load ad-hoc data back into the QlikView data layer upon user selection request.

Two-way integration makes Advanced Analytics possible in QlikView, offering a whole new potential of analysis capabilities.

Churn models classify customers based on their risk of leaving, which allows an organization to effectively prevent churn and mitigate risk of eroding revenues.

Advanced forecasting 
Planning and controlling supply chains in retail and manufacturing companies, e.g. to forecast product sales or commodity demands in different scenario’s.

Customer segmentation by applying advance cluster analyis tot segment customers into groups according their behavior and other characteristics.

Outlier detection 
Outlier detection encompass fraud detection, anti-money laundering and production anomaly detection.

Text Analysis 
Sentiment analysis and tonality scoring, document classification, document clustering, similarity computation, keyword and topic extraction, document querying methods, and so on.


Companies now start to recognize that machine learning is a valuable and attainable technology that could help them gain a significant competitive edge. This solution is relevant for both small businesses as well as large corporates regardless of industry. Xomnia is now implementing this solution in a QlikView prediction application for Gemeente Amsterdam and in a project for Orbis, a Dutch medical and healthcare concern.

More info: webinar

Are you interested in the two-way integration of QlikView and RapidMiner? We are hosting a webinar at the 21st of January from 13:00 till 15:00 (GMT+1) for RapidMiner and QlikView users and implementation partners. You can apply for the webinar by sending an e-mail to training@xomnia.com