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9/24/2004
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MetaMatrix Signs Partnership With Business Objects

MetaMatrix joins the Business Objects Technology Partner Program in a marriage of EII and BI.

Enterprise information integration (EII) provider MetaMatrix announced this week that it has signed a technology partnership with business intelligence (BI) leader Business Objects. Under the terms of the agreement, MetaMatrix will join the Business Objects Technology Partner Program, a worldwide program designed to help complementary software and hardware providers reach broader markets, lower their business costs, and take their products to market faster. The two companies will also engage in joint sales and marketing activities.

Effective immediately, MetaMatrix can provide organizations using Business Objects tools with on-demand access to information integrated from disparate sources including data warehouses, ERP and CRM applications, legacy systems, and XML and ODBC-based data sources. With its library of connectors to packaged applications and data sources including SAP R/3, Oracle, PeopleSoft, and Siebel, MetaMatrix co-exists with Business Objects Data Integrator, helping to provide information access across disparate data silos. MetaMatrix can also provide Business Objects customers with comprehensive metadata management capabilities.

"Enterprise information integration is becoming an option for organizations looking to spread queries across multiple systems without physically moving the data," said Darren Cunningham, director of product marketing from Business Objects. "The combination of MetaMatrix, Business Objects, and a proper overall data integration strategy that is inclusive of data marts and data warehouses can help ensure BI users are always working with timely, accurate, and credible information."

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The Agile Archive
The Agile Archive
When it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
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