BEDFORD, Mass.--(BUSINESS WIRE)--Progress (NASDAQ: PRGS) today announced the Progress® OpenEdge® PdM Integration Kit. The new offering enables customers to integrate the cognitive predictive maintenance capabilities of the Progress DataRPM® platform into their OpenEdge enterprise applications to predict and react to potential asset failures before they occur.
According to Forrester, “The internet of things (IoT) plays a pivotal role in transforming the industrial sector. Connecting machines to record their usage patterns is often the first step and can deliver tangible benefits. But companies that really put data — and insights — to work are predicting problems and opportunities before they occur, or even developing entirely new service-based business models.”1
With the new PdM Integration Kit, Progress customers and partners can enhance their current OpenEdge applications with predictive analytics to help them anticipate equipment failures and vastly increase the likelihood that they will prevent them before they happen, potentially saving millions of dollars. The system also offers impact analysis to help prioritize maintenance fixes and inform long-term asset replacement strategies. With the DataRPM platform, organizations have reduced unplanned downtime by 90% and increased asset operational efficiency by 50%.
“With the OpenEdge PdM Integration Kit, Progress is providing the cognitive capabilities our customers are asking for,” Gunnar Schug, CTO, proALPHA. “By not only identifying issues, but also providing guidance on how to best address them, this system will help our customers minimize the impact of asset failures that would otherwise result in major business disruption, cost and revenue loss.”
The OpenEdge PdM Integration Kit also includes other features, such as:
- Flexibility to customize analysis to customer needs
- Ability to “talk” to the ABL Library so developers can access DataRPM functionality
- Progress Corticon® software add-on for business rule scenario analysis
- Prebuilt recipes to address a variety of use cases
- ABL Test framework that enables testing of predictive analytics functionality without requiring a full DataRPM implementation
“The release of the PdM Integration Kit is a major milestone stemming from the acquisition of DataRPM. The PdM Integration Kit will bring immediate value to OpenEdge customers and partners,” said John Ainsworth, SVP, Core Products, Progress. “The success of our OpenEdge customers and partners is central to our business and we continue to invest in the right leading-edge technologies to help them succeed with Progress today and into the future.”
The OpenEdge PdM Integration Kit will be available as an add-on for customers with current OpenEdge applications, or through Progress partners as an integrated component to new and existing applications. For more information, please click here.
Progress (NASDAQ: PRGS) offers the leading platform for developing and deploying mission-critical business applications. Progress empowers enterprises and ISVs to build and deliver cognitive-first applications, that harness big data to derive business insights and competitive advantage. Progress offers leading technologies for easily building powerful user interfaces across any type of device, a reliable, scalable and secure backend platform to deploy modern applications, leading data connectivity to all sources and award-winning predictive analytics that brings the power of machine learning to any organization. Over 1,700 independent software vendors, 100,000 enterprise customers and two million developers rely on Progress to power their applications. Learn about Progress at www.progress.com or +1-800-477-6473.
Progress, OpenEdge, DataRPM and Corticon are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the US and other countries. Any other trademarks contained herein are the property of their respective owners.
1 Forrester, “Put Data To Work In The Industrial Internet Of Things,” September 21, 2017, Paul Miller with Pascal Matzke, Frank E. Gillett, Michael Glenn, Shayna Neuburg