PROCESSORS
Enterprise Integrator John Daniel Associates Embraces Cognos
- Written by: Writer
- Category: PROCESSORS
PITTSBURGH, Pa. -- John Daniel Associates today announced support for Cognos ReportNet, a complete Web-based enterprise query and reporting solution designed to meet the needs of today's multinational, diversified enterprises. In partnership with Cognos (Nasdaq: COGN; TSX: CSN), the world leader in business intelligence (BI) and corporate performance management, John Daniel Associates leverages Cognos industry-leading BI solutions to help companies improve and direct corporate performance to make better business decisions, resulting in reduced costs and enhanced operating performance. John Daniel Associates, a Cognos Pinnacle Partner(TM) for four consecutive years, provides business intelligence solutions to customers across North America in verticals such as pharmaceuticals, consumer goods and manufacturing. Currently, joint John Daniel-Cognos customers include American Eagle Outfitters and Anderson Equipment Company. "High-performance reporting is reality with Cognos ReportNet. Between allowing multiple queries from heterogeneous data sources and providing users with an extremely intuitive report development interface, Cognos understands that business intelligence is not about cookie-cutter solutions, but offering users the right tool and delivering key information at the right level of detail. ReportNet embraces that philosophy and will be a valuable addition to the Cognos BI suite," commented Dan Volitich, President and Founder of John Daniel Associates. In addition, Cognos ReportNet allows the use of existing security structures such as LDAP, NT, or existing Cognos LDAP; this security can be controlled via a web interface. Cognos ReportNet draws upon Cognos reporting and query leadership, delivering the next dramatic revolution of BI reporting. It is fully integrated within the entire breadth of the Cognos Enterprise BI solution, including flexible scorecards, dashboards, powerful industry-leading OLAP analysis, event detection and alerting, and data integration.