OUR STORY
Intergraph Outage Analytics & Reporting
Extend enterprise access to operational information for outage visualization, analysis, and reporting.
Intergraph Outage Analytics & Reporting is a simple-to-use web tool that extends enterprise access to operational information (historical, as well as near-real time), visualization, analysis, and reporting.
It provides real-time situational awareness of unfolding outages, operational deployments, and restoration progress during major events. Self-service means users get up-to-the-minute information without distracting outage management operators from their tasks.
It offers insight into historical performance, trends, and possible root causes, helping companies to proactively reduce the number of outage events. It also enables monitoring of KPIs to identify emerging issues before they become problems, and simplifies reporting on industry standard indices such as system reliability, IEEE reports, outage analysis, and crew history reports.
The system is simple to set up and integrate within existing ICT landscapes and provides richer insight by synthesizing a single unified view of data from multiple disparate systems.
Benefits
Increase Situational Awareness
Obtain real-time situational awareness of the unfolding situation, operational deployments, and restoration progress.
Reduce Outages
Utilize historical performance, trends, and possible root cause to proactively reduce the number of outages.
Spot Trends
Monitor KPIs to identify emerging issues before they become problems, such as outage duration, frequency of outages, system availability, and response times.
Intergraph G/Technology
Plan, design, and document the network and apply information.
Intergraph InService
Restore power quickly and efficiently.
Snohomish County PUD
Snohomish County PUD uses Intergraph G/Technology as a system of record for its entire network and to provide information to all departments and systems across the enterprise.
For us, it’s the perfect way to get data out very easily and very quickly.