Element is helping Industrial Enterprises across the globe achieve up to 300% faster time to insight, a 25% gain in employee productivity, and a 100% increase in data usability for decision making.
Previously our safety performance data was kept in one place—an engineer’s computer. With Element, everyone has instant visibility to our safety system performance in a holistic view that will allow for very fast response to issues as they arise.
Asking a very simple question about your asset requires more than one data source, and typically those data sources are not connected to each other, or what should be a five minute question now takes me hours to answer. Having Element is absolutely critical for deploying data science, predictive and prescriptive analytics and AI driven automation.
Element’s value is delivering trusted data from source to consumer so that we can reduce the amount of unplanned outages and deferrals, and maximize margin. They are helping us harmonize our data, and ensure its reliability, so we can use it with all of our applications in a trustworthy, repeatable fashion.
The Element AF Accelerator is helping to align flexible hierarchical views across our maintenance, APM, and operations systems.
We're using Element to speed up the creation of our operations data fabric.
80% less time to build asset models
40% less analytics deployment work
Potential savings of $550K over 5 years, from one analytic at one plant
Improved data accessibility, enabling future analytics and AI/ML initiatives
PI AF is consistent with other system (MMS and APM) hierarchies
Visualizing data discrepancies identifies system of record issues and builds trust
Data integrity reports help improve maintenance strategies
10K OSIsoft PI tags/plant contextualized with SAP maintenance records
Increased asset utilization through prioritized maintenance
4X improvement in engineering productivity and lower O&M costs
4 GW of capacity monitored using OSIsoft PI AFs
Integrated data from 6K sources
Reduced effort to contextualize data >90%
Enabled 60+ analytics applications
Cost savings of $15.9M
Faster insights by building data-driven models
Analyzed 1,600 sensor streams representing 7 years of data
Identified root cause by uncovering 276 faults
Saved $10M over 3 years
75% reduction in project time of aggregating data
4X improvement in engineering productivity
Reduced risk of unaudited engineering calculations