Santos – IBM SPSS Case Study
When a critical asset fails in one of Santos’ operations, the result can be lost revenues and more time on the road for engineers. Santos needed to find a way to identify faults before failures occurred.
To maximize production uptime and promote safe, efficient maintenance, Santos predictively models data from assets connected to the Internet of Things, providing early warnings of equipment failure.
Download the Case Study to find out more.