Development of a Unified Utility Data and Analytics Platform for Enhanced Customer Insights and Operational Efficiency

The client faces challenges due to the growth in smart metering data, resulting in complex data silos and limited visibility into customer behaviors, operational performance, and revenue metrics. This hampers their ability to generate real-time reports, develop actionable insights, and implement AI/ML solutions to optimize their utility services and customer management processes.

A large, multinational utility company managing extensive customer accounts and regulatory obligations, seeking to leverage smart metering data for business optimization and customer experience enhancement.

• Establish a comprehensive data structure capturing essential utility customer and operational data elements.
• Create a unified, 360-degree view of customers to facilitate faster reporting, dashboard creation, and analytics.
• Enable generation of hundreds of predefined utility-centric KPIs to support operational and strategic decision-making.
• Provide a scalable infrastructure capable of processing and analyzing large volumes of smart metering and portfolio data.
• Support integration of AI/ML use cases to automate insights and optimize utility operations.
• Improve data-driven decision-making to enhance operational efficiency, reduce costs, and improve customer experience.

• A centralized logical data model to process and organize customer, meter, transaction, and operational data.
• Integration mechanisms for real-time ingestion of smart meter data and other external data sources.
• An internal analytics dashboard providing customizable reports and visualizations for various utility metrics.
• Predefined KPIs tailored for utility operations, revenue management, and customer engagement.
• Support for AI/ML algorithms on top of the data model to identify trends, predict customer behaviors, and detect anomalies.
• User roles and access controls to ensure secure and compliant data management.

• Smart meter data sources for real-time consumption and device metrics.
• Customer management systems for profile and billing information.
• Operational systems for outage, maintenance, and asset data.
• External analytics and reporting tools for visualization and insights.

• System scalability to handle increasing data volume from smart meters and other sources.
• High availability and reliability for continuous data processing and reporting.
• Data security and compliance with industry standards and regulations.
• Performance goals to generate real-time dashboards and analytics with minimal latency.

The implementation of the centralized data and analytics system is expected to enable the client to generate faster and more comprehensive reports, improve operational decision-making, and support AI/ML initiatives. These improvements will drive operational efficiencies, reduce costs, enhance customer satisfaction by providing personalized services, and improve revenue recovery through better insights, aligning with the outcomes observed in previous similar projects.