Despite the prevalence of IoT devices in our day to day lives, many people still view IoT data as a future consideration for their organizations, or a data source that has yet to be tapped to its full potential. After all, how do you store, manage and make sense of the enormous amount of information that these devices collect, and can you really make “real time” changes with it?
This was the challenge that Brazilian transportation logistics giant Rumo Logistica faced when trying to improve the safety and efficiency of their thousands of kilometers of railway lines. By combining the power of the Oracle Analytics Cloud with their existing IoT data stores, the team at Rumo Logistica developed predictive analytics that helped them prevent service delays, improve the usage of their busiest routes, and most importantly, protect the safety of their workers through proactive repairs and management.
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