Overview
Splunk is an analytics platform that enables you to gain visibility and insight into data, quickly and at scale, in order to take meaningful action for business and operational advantages.
Predictive maintenance is a methodology that uses data analytics and machine learning algorithms to make predictions about future outcomes, such as determining the likelihood of equipment and machinery breaking down. Using a combination of data, statistics, and machine learning and modeling, predictive maintenance can optimize when and how to run maintenance on IT or industrial machine assets.
Organizations are concerned with two types of maintenance: planned and unplanned. Planned or preventative maintenance happens before a failure occurs or prevents failures from happening. Unplanned or reactive maintenance happens when parts fail and need replacing. This type of maintenance is costly, as it affects operations due to asset availability and can impact customer service. The goal of forward-looking organizations is to shift from reactive to preventative to predictive maintenance; optimizing their operational availability and performance.