Press Release
Business Intelligence Software Developer, Decision Technology, Inc., Presents BI Software to Datatel Users Group at SEDUG
Myrtle Beach, SC—November 18, 2006: Mike Mueller, CTO, Lewis & Clark Community College and Mark Berkowitz, President, Decision Technology, Inc. presented at the SouthEast Datatel Users' Group (SEDUG) 2006 conference this month.
Founded in 1970, Lewis and Clark Community College serves learners across an 1,800 square mile area. For reporting, they needed a fast and easy way for their users to retrieve and make sense out of real-time student, class and instructor data. They also needed a product that would support SQL Server as well as UniData—and, ideally, both at the same time.
Lewis and Clark chose DecisionCentric from Decision Technology. This affordable business intelligence software is designed for end users to integrate, analyze and publish complex data. Furthermore, DecisionCentric gave Lewis and Clark the ability to produce real-time output from their Datatel/UniData system that users never dreamed of—including producing data cubes that allow them to “drill down” to the detail that they require.
Attendees at SEDUG 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.