• Get a clear picture of distribution system “hot spots” at a glance, tailored to what you want to see.
• Drill down yourself or send data with requests for further investigation to your team.
• Quickly “See” (with integrated asset, outage and customer data mapping) where problems or critical issues are located on your system.
• Understand the impact of current outage events on YTD and projected Year-End results vs. targets.
• Choose the KPIs and key data that are meaningful to you, grouped into dashboard topics and visuals.
• Key domains include Reliability, Problem Circuits, Investment Levels, Inspection/Repair Compliance, Storm Analysis/Prep, and much more.

In addition to key reliability analyses by device type and cause, you can deep dive into detailed cause codes (i.e. tree limb vs. tree fell) to determine where more aggressive programs (i.e. danger tree removals) and possibly greater spend might be needed to address the issues. Integrate your enterprise system data with mapping such as ArcGIS to design optimal specialty programs and quantify likely value, cost and ROIC based on projected O&M savings and Reliability improvements.

Such data and insights enable your company to drive and support mutually beneficial regulatory framework changes, or at least ensure you can meet fixed targets with changing storm scope, frequency and exclusions. Answer complex questions from regulators, executives or other stakeholders quickly and easily, and demonstrate optimal reliability spending decisions.

Measure and forecast WPC risk, enable mid-year line maintenance or VM interventions and target system improvement efforts. Trend recidivism to facilitate refinement of strategies and investment levels.

• DRˣ provides users with powerful statistical analysis, forecasting, and risk mitigation capabilities – to measure and forecast WPC risk, to enable mid-year line maintenance or VM trimming interventions and to target system improvement efforts.
• DRˣ helps to reduce risk from Worst Performing Circuits.
• For Problem Circuits: Implement interventions commensurate to the underlying causes of outages / reasons for extended restoration times.
• For Poor Performing Circuits: Apply statistical analytics to narrow focus of direct intervention to a subset of these circuits.
• DRˣ also trends recidivism (i.e., repeat listings in various years over the last decade) to facilitate refinement of asset strategies, line design/configuration and investment levels.

Go well beyond your historical system-level Reliability benchmarks, to define circuit level reliability targets with peer benchmarks that show performance gaps of each circuit.

Circuit Level Reliability Benchmarks and Targets

Benchmark performance of each circuit with similar circuits of peers across a variety of dimensions (both internally and externally); identify key outage causes, or areas for improvement to achieve top quartile performance.

Understand where, when, and what type of Tree Related Outages are occurring. Prove that your current VM program is optimal and be able to quantify the impact on VM Spending changes on reliability. Define the optimal cycle in years as a function of Veg exposure, number of VM related outages, CI and CMI impacts, etc.

The Asset Risk Performance section covers various critical sub-sections, including Investment Optimization and Inspection & Maintenance (highlighted here) as well as Asset Class Strategies, described on the following pages.

This section provides productivity analyses across different types of barns/dispatch centers (i.e. OH, UG, Substation), including O&M spend breakdowns by center and activity as well as a spend cost matrix view.  Identify your best performing centers and spread their best practices.

Analyze Capital projects by barn/dispatch center (OH, UG) and individual Capital project.  See the spread across areas and reallocate as needed.

The Analytic Sandbox allows for the creation of custom, user-defined charts and tables. The available options provide the user with the ability to select the type of chart to be generated as well as the information that will be utilized to feed the selected visualization (dimensions (x-axis), expressions/measures (y-axis), boundary conditions on the data, and filters of your choosing based on any data existing in the application). Once created, the available toggles allow the user to sort the resulting chart as well as add averages and trend lines.

The Visual Analysis section includes the Visual Asset Register and Feeder Comparisons. The Visual Asset Register geo-maps performance metrics (CI, CMI, Outages, etc.) across feeders, visually representing their performance in the service territory. Color coding indicates performance levels. Users can also include additional assets like substations and reclosers in the geo-mapped results.

The Feeder Comparison section enables users to directly compare two feeders, quickly revealing performance differences (CI, CMI, Outages, etc.) and providing geo-mapped visualizations. Users can differentiate asset characteristics, such as underground vs. overhead segments, associated substations, and feeder size, etc.