Splunk has always been known as a company that can sift through oodles of log or security data and help customers surface the important bits. Today, it announced it was going to try to apply that same skill set to Industrial Internet of Things data.

IIoT is data found in manufacturing settings, typically come from sensors on the factory floor giving engineers and plant managers data about the health and well-being of the machines running in the facility. Up until now, that data hasn’t had a modern place to live. Traditionally, companies pull the data into Excel and try to slice and dice it to find the issues

Splunk wants to change that with Splunk Industrial Asset Intelligence (IAI). The latest product pulls data from a variety of sources where it can be presented to management and engineers with the information they need to see along with critical alerts.

The new product takes advantage of some existing Splunk tools being built on top of Splunk Enterprise, but instead of processing data coming from IT systems, it’s looking at Industrial Control Systems (ICS), sensors, SCADA (supervisory control and data acquisition) systems and applications and pulling all that data together and presenting it to the key constituencies in a dashboard.

It is not a simple matter, however, to set up these dashboards, pull the data from the various data sources, some of which may be modern and some quite old, and figure out what’s important for a particular customer. Splunk says it has turned to systems integrators to help with that part of the implementation.

Splunk understands data, but it…

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