Join the Predictive Maintenance revolution

Thanks to Predictive Maintenance – part of UReason’s APM software – the risk of unplanned downtime and business threatening calamities is significantly minimised, making it a must-have for any company that heavily relies on asset availability to support their processes.

It is time to revolutionise your assets.

A unique hybrid approach

The use of big data analytics in predictive maintenance is one of the most popular topics in the asset maintenance and management industry. There is a reason for it.

Predictive maintenance – the scheduling of maintenance based on indications from different systems – is a valuable asset for any business that relies on asset availability. It minimises the risk of unplanned downtime and assists in predicting the future asset performance. By employing predictive models, maintenance assignments can be based on asset condition, asset usage, asset failure modes and asset failures.

Predictive Maintenance 3-step roll-out

1. Data-scan

A one-day program in which together, we analyse the asset focus and data availability in order to determine whether a Predictive Maintenance Program is feasible.

2. Proof of value

Next, we jointly determine if a so-called proof of value can be made. A POV consists of a working example of the APM solution, allowing us to evaluate the business case.

3. Implementation

If the proof of value has turned out to be a success, we will work with you to roll out the predictive maintenance program(s) in your facilities.

Easy to Connect to

Level up with UReason

Which level is your organisation on in the Predictive Maintenance Maturity Matrix?

To get the most out of Predictive Maintenance, your organisation should be on at least level 4. This is the area where there is enough data available for our APM software to derive the most accurate and reliable predictions about the performance of your assets through machine learning and data analytics.

From Predictive to Prescriptive

As the leader in the field of next-generation asset performance management software, we are reaching the new frontiers. And the new frontier is currently Prescriptive Maintenance, often considered the level 5 of maintenance. Here, by leveraging the power of machine learning, Internet of Things and big data analytics, our APM software can produce ever-evolving outcome-focused recommendations for operations and maintenance on top of predicting asset performance.