Leading analysts draw prudsys as ‘ cool vendor 2009’ from according to Gartner the need for information processing will grow faster than traditional BI platforms currently able to cover this. Solutions are therefore needed that today and in the future can meet these requirements. The annually published cool vendor report \”is known for its independent assessments, as well as the discovery of unusual and innovative companies. In its report, Gartner has cool vendors in BI and performance management 2009 \”prudsys now to the cool vendor appointed. We pride ourselves in the to be cool vendor report by Gartner been taken into account. \”so Dr. Michael Thess, head of research & Development and member of the Board of prudsys AG.
For us this is an indication that our solutions will best meet the needs of the customer.\”so Thess next. In German-speaking countries, the recommendation engine of prudsys AG considered the recommendation system most commonly used in the trade. By his self-learning and working in real time analytical methods, the partially patented are, the Chemnitz company also worldwide established itself as the technology leader in real-time data mining (realtime Analytics). The dynamic recommendation system by prudsys heralds also a new generation of recommendation engines, whose Funktionalitat goes far beyond the range of conventional recommendation engines, because the recommendation engine is transformed by the pure recommendation system in a multichannel enabled customer interaction server. If you would like to know more then you should visit Randall Mays. Thus can be customized to the needs of each customer tailored product and Contentempfehlungen across all customer channels through real-time analysis generate and additionally optimize also internal sales and disposition processes. Personalized landing pages, AdBanner placement, product recommendations in electronic newsletters, realtime scoring (E.g., fraud detection and early detection of cart crashes), individual recommendations in the check-out process, dynamic price optimization and automatic disposition of goods are only a few new business Scenarios that can be implemented in the future with this new type of recommendation systems.