The conglomerate's was looking to increase cost efficiency, lower risk, and increase customer satisfaction with their revenue-generating IoT platform. The company is harnessing Elastic Observability for log analytics, metrics, uptime, APM while using features like Canvas and Kibana Lens to observe its IoT platform of Internet-connected products for buildings, airplanes, freight trucks, factories, and more.
- Faster growth and better customer service. With Elastic, the company has onboarded more than 30 IoT applications and increased their ability to meet contracted uptime SLAs for their customers.
- Increasing capacity and insight. With Splunk's pricing model preventing the company from realizing goals no longer a concern, the conglomerate is planning a 10x increase in the amount of data ingested from their IoT application fleet, giving them more insights into their systems than ever before.
- Creating new monetized offerings. The switch from Splunk to Elastic paved the way for the company to move beyond simply providing an internal logging service and into a brand new monetized way of monitoring the industrial equipment they sell externally.