Quiterian launches version 2.1 of Dynamic Data Web

 
Dynamic Data Web 2.1 includes, among other features, Boosted Decision Tree and Cluster as new Data Mining techniques, the iWorkflow module aimed to automate tasks and to systematize processes, and two new downloading ways which make files import and export easier
Quiterian, leader in the advanced data analysis sector, launches version 2.1 of Dynamic Data Web (DDWeb), a 100% web Business Intelligence platform which includes Data Mining and Predictive Analysis techniques for business users.
DDWeb V2.1 includes two new Data Mining techniques: Boosted Decision Tree (C4.5) and Cluster (KMeans). As Data Mining techniques, both contribute to remove information which remains implicit in data, as well as to identify hidden relations and to discover patterns and trends in order to build predictive models. As a result, organizations increase their agility and capability to anticipate, being able to make long term strategic decisions and to increase their competitivity.
Another DDWeb V2.1 relevant novelty is iWorkflow, a new module that allows to automate tasks, to turn best practices into rules for the business, to systematize processes and to make collaborative decisions which contribute to boost business productivity and efficiency.
Regarding files export and import, DDWeb V2.1 considers two new downloading ways: delayed downloading and streaming downloading. The first one enables its users to download files exports which had been previously stored on the server; besides, these count on their own downloading area. The second one, optimized for big volumes, promotes uninterrupted files downloading.
Other novelties of new DDWeb’s version are the videos included in the option “Help”, which describe step by step how to use each module and tool, illustrating them with useful examples, and which are also available at Quiterian. Finally, this version, which has been translated into two new languages, Turkish and Polish, includes keys for some types of graphics.
In conclusion, Dynamic Data Web 2.1 includes two new Data Mining techniques that, as well as the existing ones, are aimed to all users, no matter if they are not mathematics or statistics experts. In addition, DDWeb 2.1 facilitates files export and import with new downloading ways and improves the platform’s intuitivity and usability, as it incorporates supporting videos and graphic keys. Dynamic Data Web’s translation into Turkish and Polish responds, on the other hand, to users worldwide needs and it is in line with Quiterian’s current international expansion process, which began early this year.
 
About Quiterian:

Quiterian is a technological company founded in 2003 by Josep Arroyo, experienced technology entrepreneur.

Quiterian has developed Dynamic Data Web (DDWeb), an innovative business intelligence software that analyzes large volumes of data instantly. DDWeb includes advanced Data Mining analysis techniques, but because of the simplicity and intuitiveness of the platform, any business user can use it.

Among its clients in Spain are leader companies in their sectors (El Corte Inglés, BBVA, La Caixa, Inversis, Telefonica, Vodafone, Orange, Telepizza, Volkswagen, Travel Club, Bayer, Sanofi) and some of the most advanced government institutions (Governments of Andalusia, Catalonia, Valencia, Extremadura, Madrid City Council, Bilbao City Council, Metro of Madrid, Metro of Bilbao, ATM, Muface, Muprespa, ENESA).

Quiterian, based in Sant Just Desvern (Barcelona) with offices in Madrid, Seville, Valencia, Lisbon, Miami and Mexico DF, has started this year 2010 its international expansion and has expanded its area of influence through strategic partnerships with partners in Argentina, Brazil, Colombia, Chile, Costa Rica, Venezuela, United States, Canada, Poland, Middle East, Egypt and Turkey.

Quiterian has a commitment with research, innovative product development, globalization and the creation of highly skilled jobs.

For more information:
www.quiterian.com
Noelia Llorente – Communications Responsible - nllorente@quiterian.com