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Enhanced operational efficiency by optimizing anomaly detection and circuit balancing, unlocked data silos for better utilization, improved customer engagement through actionable analytics, and ensured robust security and compliance with industry standards.
A leading company in the utility domain, this organization specializes in the distribution of electricity and gas. They are committed to delivering reliable and efficient energy services to their customers. Known for their innovative approach and dedication to customer service, the company continually seeks to leverage advanced technologies to improve their operations and customer engagement.
The need to build a modern data analytics solution to improve the availability and usability of meter data for operational and customer insights.
Unlocking data silos and using the right data stores and analytics tools for various tasks.
Detecting meter and distribution circuit anomalies, running circuit balancing, thwarting energy theft, and predicting demand.
Enhancing customer engagement with proactive, meaningful analytics, forecasts, and predictions.
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Comprehensive Data Analytics Solution: Built a modern data analytics solution using AWS services, including Amazon S3, Redshift, EMR, Athena, SageMaker, QuickSight, and Managed Grafana.
Unified Data Integration: Integrated diverse data sources, such as CIS, weather data, and MDMS, into a unified data lake, and utilized AWS Glue for ETL processes.
Advanced Machine Learning and Insights: Implemented machine learning models with Amazon SageMaker for anomaly detection and demand prediction, and created dashboards and reports with QuickSight and Managed Grafana for actionable insights while ensuring robust security and compliance.
Improved the availability and usability of meter data, providing valuable operational and customer insights.
Successfully detected meter and distribution circuit anomalies, thwarted energy theft, and predicted demand accurately to enhance operational efficiency and optimize resource allocation.
Enhanced customer engagement through proactive and meaningful analytics, forecasts, and predictions.
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