AVEVA, a global leader in industrial software, driving digital transformation and sustainability, has signed a reseller agreement with Limble CMMS, an award-winning cloud computerized maintenance management system (CMMS). The collaboration will empower connected workers with a seamless work execution experience to drive condition-based and preventive maintenance best practices.
The technology partnership will combine AVEVA Insight’s to industrial data, rich visualization and robust analytics, with Limble CMMS’ easy-to-use work management features so that customers can simplify complex processes and accelerate time to value. The joint solution enables customers to streamline workflows and increase asset availability by linking critical plant data to their CMMS solution.
Bryan Christensen, CEO at Limble CMMS, commented: “The most effective industrial leaders are those who strive to leverage data in ways that improve the experience – and thus productivity – of plant floor and field workers. Limble CMMS delivers the industry’s best user experience for managers and technicians by giving them the task and asset information they need at the exact moment they need it. AVEVA Insight’s real-time equipment data analysis prioritizes that work for maximum impact. When our customers combine the two, the workforce and the bottom line both win”.
Kim Custeau, Executive Vice President, Portfolio, AVEVA said: “The needs of the industrial operations and maintenance workforce are rapidly changing in line with hybrid and adaptive ways of working. With this extension to AVEVA Insight our customers can leverage rich access to information and AI using intuitive, easy-to-deploy work management features in line with their digital transformation needs and expectations”.
Both AVEVA Insight and Limble CMMS are quick to learn and deploy, delivering rapid benefits for customers. AVEVA Insight offers an end-to-end work execution solution where it can trigger condition-based tasks within the Limble CMMS, creating a seamless user experience and flow of information between the two systems.