Press Release
Business Intelligence Software Developer, Decision Technology, Inc., Presents BI Software to Datatel Users Group at CHUGADUG
Orange, CA —June 30, 2006: Decision Technology, Inc. (www.Decision-Technology.com)—developers of DecisionCentric® business intelligence software—presented at the California, Hawaii, Utah, Guam and Arizona Datatel Users Group (CHUGADUG) annual conference this month. This Datatel User’s Group provides an opportunity for members in the southwest region to share ideas, network with other members, and develop professional skills. CHUGADUG attendees were impressed with how easy end users could report from hard-to-access Datatel data sources like UniData using DecisionCentric.
DecisionCentric is uniquely positioned to support small and midsize enterprises like those in Higher Education. “Decision Technology focuses on small and midsize enterprises,” said company president, Mark Berkowitz, “and this fact is a big benefit to them. As a result, they enjoy support and attention from us they never dreamed of with ‘Big BI.’”
Attendees at CHUGADUG found that DecisionCentric is truly unique. Unlike many Higher Education business intelligence software products, DecisionCentric provides concurrent access to any combination of Datatel and other, disparate data sources—yet it installs in hours and it requires no major consulting engagement for deployment.
About Decision Technology, Inc.
Decision Technology business intelligence software is the ideal solution for organizations with limited Information Technology resources, and whose data are confined in disparate databases or operational systems. Since 1985, Decision Technology has provided organizations with intuitive, information retrieval software for decision support applications. Its newest business intelligence software product, DecisionCentric, provides Enterprise Information Integration with query and reporting tools optimized for small and medium size organizations. It enables users to integrate, publish and analyze enterprise data across disparate databases—without expensive ETL technology.