Both companies already work with UK manufacturers to enhance outputs and the reliability of manufacturing assets. Machinery and other assets that are optimised for performance and maintained for reliability deliver positive outcomes for profit margins.
With over 30 years of industry experience, Ultimo has grown to become the leading flexible EAM Cloud platform, rewarding manufacturers with maximum asset availability. The software enables businesses to gain better control over their assets, realise uptime, control costs, and create a safe and healthy working environment.
DATAHONE’s Intelligent Factory provides production and condition monitoring applications to manufacturers across many different industry sectors and, like Ultimo, delivers a host of benefits regarding productivity.
Improved productivity for manufacturers
Cliff Brereton, CEO of DATAHONE, said: “This partnership is great news for manufacturers who use DATAHONE’s production and maintenance monitoring capabilities to manage their performance. By adding Ultimo’s asset and maintenance management offering to our portfolio, we can expand our offering and add new value to our customers. Both solutions have demonstrated outstanding Return on Investment (ROI), and being able to monitor production process and assets around the business can truly make a difference to our customers.”
Marcel Leeflang, Head of Channel Sales at Ultimo, commented: “We are delighted to be working with DATAHONE to improve productivity for manufacturers across the UK by reducing unplanned downtime and optimising planned maintenance activities. I am looking forward to supporting customers with our joint solution.”
At DATAHONE we are inspired by decades of industry experience to deliver out-of-the-box contextual analytical production manufacturing insights for managers and leaders, allowing better, more informed decisions to be made. We describe this as the Intelligent Factory. DATAHONE delivers productivity and quality improvements using ‘Industry 4.0’ sensors & devices, Cloud Computing, Data Analytics and AI.