Home > Workload Solutions > Data Analytics > White Papers > White Paper—Cloud Native Splunk Enterprise with SmartStore—Predictive Maintenance for IT Operations > Benefits of predictive maintenance
By leveraging Splunk Enterprise for predictive maintenance, IT organizations can monitor and diagnose equipment issues in real time. They can catch anomalies in automated operations before they become major challenges that could create unscheduled downtime. With a predesigned and validated solution for predictive maintenance, teams can accelerate their time to value as well.
The business benefit of predictive maintenance is reduction in the cost of maintenance and losses associated with unplanned outages. Preventing equipment breakdowns increases productivity and improves customer experience where outages or service degradations would affect end users.
Downtime can cost organizations millions of dollars per day. According to Splunk, unplanned maintenance can cost up to 15% more than planned maintenance. The additional urgency required to get operations back online can further add to cost and risk.
As a result, forward-looking organizations are adopting predictive maintenance strategies. Predictive maintenance considers estimated service intervals while taking advantage of data-driven insights based on the measurements of operating conditions. By using modeling and forecasting to calculate when repairs are required, organizations that adopt predictive maintenance strategies can better manage parts and labor costs along with asset availability.