The next big thing in Enterprise Asset Management (EAM) – Internet of Things (IoT) and machine learning – is changing the way enterprises maintain their operations by providing more accurate, richer and faster insights to run end-to-end operations.
Organisations need to track, assess and monitor the performance of their assets on a regular basis to keep operating at peak efficiency. EAM systems can improve operational efficiency through enhanced analytical insights and recommendations for preventive maintenance.
The implementation of IoT and machine learning technology is intended to make asset management systems more intelligent and responsive to business needs, by providing context and visibility into real-time operations.
Companies implementing EAM systems prioritise the health of their assets, which needs to be addressed through proper asset data management. Improved data quality and accurate information enable businesses to make informed decisions about their assets.
The use of IoT for enterprise asset management is essential in asset data capturing and sharing throughout the enterprise. It can capture additional information and stats that may not be captured or available otherwise to benefit the decision-making process.
While most companies view IoT as solely a data generator for connected equipment, the technology has even more benefits when combined with ERP and EAM stored data for predictive or condition-based maintenance.
EAM in conjunction with IoT and machine learning provides a new level of real-time visibility into assets and continuous streaming data, with a focus on predictive analytics and predictive maintenance that enables faster decision-making.
Integrating an EAM system with IoT and machine learning enables companies to identify patterns and problems with their assets and take the necessary steps to address potential issues, such as unplanned equipment and outdated machinery that leads to production downtime.
Organisations activating in an industrial context, such as mining, manufacturing, oil and gas, and transportation can get immense value from EAM systems that take advantage of these technologies to improve the bottom line.
“By engaging with Decision Inc. IMMIX, an experienced Microsoft ERP Gold Partner, in the deployment of their EAM solution, our clients avoid any deployment challenges when integrating to existing Tier 1 ERP software,” says Quintin van Rensburg, Decision Inc. Immix.
Join us for an Enterprise Asset Maintenance (EAM) event and discover how to reduce
or eliminate unplanned equipment and production downtime, and learn more about the convergence of EAM, IoT and machine learning.
Note: This event is free, but seats are limited. RSVP today to avoid disappointment.
Contact Decision Inc. Immix and speak to one of our experienced Microsoft Dynamics ERP consultants if you would like to see how an ERP and EAM system can help your business.
“By engaging with Decision Inc. IMMIX an experienced Microsoft ERP Gold Partner, in the deployment of their EAM solution, our clients avoid any deployment challenges when integrating to existing Tier 1 ERP software.”