User description

Organizations that invest heavily in digital transformation continue to collect a mountain of data. While a new generation of open source tools is helping with the data analysis at scale, the employees are struggling to keep pace with the data.

While working on an elastic stack based remote monitoring and diagnostics application for industrial machines in 2016, Skedler’s founding team realized that even though Kibana dashboards with machine data were readily available, the field service engineers found them difficult to use. They failed to meet the service level agreements(SLA) for the machine uptime resulting in costly penalties. What they needed was a tool that generates daily summaries of existing issues that they can troubleshoot and resolve quickly