CIMdata PLM Industry Summary Online Archive
5 November 2007
Company News
MSC.Software Corporation Wins IBM Information Management Award for Information Management Solution Excellence
MSC.Software has been named winner of the "Information Management Solution Excellence" award in the annual IBM Information Management Awards competition, recognizing IBM Information Management Business Partners for their demonstrated excellence in delivering exceptional business value for Information Management software.
MSC.Software's winning solution, SimManager Enterprise is an enterprise-level software product that is designed to allow global businesses to speed design and development while providing the functionality that allows organizations to efficiently create, manage and re-use simulation data. SimManager allows companies to execute, control, share and extend engineering analysis processes and all related data for their products both internally and externally into the supply chain.
SimManager Enterprise revolutionizes the way engineering teams can access and work with simulation processes and data, sharing associated information across the extended enterprise for collaboration as well as improved audit trails and comparative analysis. With SimEnterprise, product development stakeholders, regardless of application preference or global location can easily collaborate and manage simulation and simulation-based design information to accelerate product development in a highly cost-efficient manner.
"This is the second time this year that our industry-leading simulation solutions have been recognized by esteemed IBM awards," said Frank Kovacs, vice president, strategic business development, MSC.Software. "Earlier this year, we were honored to receive the Beacon Award for Global Solutions, Best Industry Solution and are so pleased that IBM recognizes how SimManager Enterprise addresses manufacturers increasing time to market and right to market pressures, by providing these businesses with the ability to manage simulation process execution and data for true multidiscipline problems with reliable performance predictions that reduce the need for physical prototypes and provide more accurate and complete results."
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