Today, IT and Facilities have a monumental task of monitoring the health and efficiency of a growing heterogeneous environment of new and legacy sensor-based equipment. As more organizations adopt IoT devices, systems, sensors and services, there is a strong need to monitor all critical infrastructure, in real-time, at the edge where they are deployed, and turn this data into actionable intelligence to keep your equipment running at peak efficiency.
Easily deployed and integrated into just about everything IT or OT (serial or IP based), OpenData is up and running quickly, offering deep insights into your smart equipment, and supplying the actionable intelligence your team needs to reduce operating costs, optimize business processes, and improve customer experiences.
OpenData is more than a device monitoring system, from data center infrastructure management to smart building analytics, OpenData provides organizations with the flexibility and scalability to monitor the health of just about anything with a sensor, all while delivering a powerful experience that supplies near instant value.
OpenData is IoT for IT.
Incumbent approaches are generally based on manual or episodic inspection of unstructured or non-normalized data streams. The limitations of such an approach is evident in any large portfolio of IoT devices. Humans are highly unreliable at recording data across time and large sample dimensions. Manual data gathering is costly to maintain and not viable. The disparity of data makes cohesive and comparative analysis complex and costly. The automated approach employed within Modius OpenData yields a completely normalized data set that can be easily analyzed by both end users, third party systems or automated algorithms.
This analysis can be performed without the usual complexities (and cost) of run time data preparation. This acquisition and data management approach has been proven with ten years of deployment in disparate data center and IoT environments.
In our alpha test of the viability of applying Machine Learning to our sample data set, the project data scientist reported that “80% of the normal project cost and complexity was eliminated” as a result of the data management structure of OpenData.