Princeton Softech Optim signs deals with Arizona Public Services, Temple-Inland to meet data retention and compliance requirements
Princeton, NJ — March 28, 2006 — Arizona Public Services and Temple-Inland Inc. both have selected Princeton Softech Optim, a solution that encompasses Princeton Softech's enterprise data management capabilities and is aligned with client-specific business objectives.
With diverse and growing business demands, and heavy data retention compliance issues to meet, each company said it chose Optim to bring agility, easier administration, and to derive greater benefits from their enterprise application sites. Arizona Public Services is the largest and longest-serving electric utility within Arizona, and Temple-Inland Inc. is a major manufacturer of corrugated packaging and forest products.
Princeton Softech provides an archiving methodology across most major enterprise resource planning (ERP), customer relationship management (CRM) and custom applications.
With compliance and productivity issues on the rise, enterprises are looking for the most efficient methods to gain control of their application data, said Brian Babineau, analyst, Enterprise Strategy Group. Crucial to data management, ERP applications such as Optim JD Edwards EnterpriseOne from Princeton Softech provide policy criteria to govern data management and retention and on-demand access to data.
Arizona Public Services said it intends to integrate Optim's core technology for both its open system and mainframe system environments, while Temple Inland will deploy the Optim JD Edwards EnterpriseOne Solution. These implementations are expected to enhance the performance of ERP applications, increase scalability and reduce infrastructure costs.
Additionally, the anticipated implementation of Princeton Softech's enterprise solutions will allow Arizona Public Services and Temple-Inland to address issues that drive day-to-day operations while taking command of important data. With the Optim JD Edwards EnterpriseOne Solution in particular, users can specify policy criteria for segregating historical transactions into a secure archive, establish distinct service levels for current reporting and historical data, and respond to audit and discovery requests.
By optimizing its enterprise applications, each company will now have the ability to manage continued data growth to reclaim valuable capacity, simplify complex infrastructures and leverage existing software and storage investments to be expanded into an enterprise wide strategy.
