Meter Data Quality: PowerRunner on PI’s built-in data quality metrics continually compare, number of meters reporting vs. meters in service and the total expected interval reads for every meter, across every asset, over any interval. This inherent data quality assurance feature provides users with confidence in this single source of data, supporting real-time operational decision management.

Real-Time Monitoring: PowerRunner on PI operates on as-built and as-operated models, thereby, enabling utilities to monitor their infrastructure in real-time, allowing for quicker detection of issues and faster response times.

Regulatory Compliance and Reporting: PowerRunner on PI streamlines regulatory compliance by automating data collection, analysis, and reporting processes, thereby minimizing administrative burden and costs.

Integrated Data Platform: PowerRunner on PI integrates data from various sources, including sensors, customer interactions, weather forecasts, and market conditions, into a centralized platform. This holistic view of data enables utilities to identify correlations, trends, and anomalies that may not be apparent when analyzing individual datasets separately.

Advanced Analytics: Advanced historical, real-time and predictive analytics techniques such as machine learning and artificial intelligence to extract insights from ”big data” generated by digital sensors, meters, and other devices support inform decision-making processes, optimize operations, and identify opportunities for improvement.

Continuous Improvement and Adaptation: PowerRunner on PI enables utilities to adopt a culture of continuous improvement and adaptation. By leveraging data analytics and feedback mechanisms, utilities can identify areas for optimization and innovation, ensuring ongoing resilience in the face of evolving challenges and opportunities.