Digital Plant Achieves 60 Percent Reduction in Costs with Implementation of Objectivity/DB
Chief software architect at leading international Automation Vendor reveals how his team optimized their digital plant architecture to dramatically reduce costs for configuration and training
For Immediate Release:
Sunnyvale, CA. -- October 10, 2007 -- Objectivity, Inc., the leading provider of object-oriented, real-time data management platforms for software applications with complex data management challenges, has published an interview with a chief software architect at a leading Automation Vendor in the Process-Automation industry, revealing how the integration of Objectivity/DB helped the company:
- Achieve real and sizeable productivity gains
- Reduce customer installment costs by 30 percent
- Drive down configuration and training costs by 60 percent
- Win a benchmarking exercise in less than half the time it took the competitor
A third deployment demonstrated that Objectivity/DB was not only more cost efficient but also faster than other systems tested; Objectivity/DB enabled the completion of a project in six hours that had taken a competitor's solution more than two days.
"This interview is a perfect illustration of the kinds of opportunities our customers can manifest when they implement our product," said Objectivity CEO Jay Jarrell. "Objectivity/DB consistently performs beyond the expectations of our customers, allowing them to generate more results with fewer resources. Our product gives our customers a competitive advantage in a faster, flatter world."
An Adobe Acrobat PDF version of the interview is available for download here. The document is just one example of the information available in Objectivity's extensive data management library, which also includes articles, case studies, white papers and on-demand webinars.
Objectivity works with multiple vendors in the Manufacturing, Process Control and Automation industry, enabling their software applications to collect, analyze and correlate event data and its complicated inter-relationships with legacy data to find opportunities and prevent lapses and downtime.


