Transition from reactive to proactive maintenance
Before the industrial IoT, unplanned downtime and production delays were considered part of the cost of doing business. But thanks to digitally enabled solutions like predictive maintenance, these problems have become largely avoidable.
Predictive analytics can identify meaningful trends, explain causal patterns, and make targeted predictions about the performance of an individual asset—or an entire production line. These analytics tools alert operators to issues before they happen, minimizing their impact on operations. Equipped with these insights, operators can either fix the problem, conduct further analysis, remediate, or temporarily shut down a line to prevent a major issue.
With this powerful data, your operators can make faster, better decisions to proactively maintain your assets and ensure optimal performance. Your downtime will be minimized, and the lifespan of your assets will increase.
Unlock the value of your data
Predictive maintenance requires strong analytics
Analytics provide the insights that manufacturers need to move from reactive to proactive maintenance.