A data and analytics journey for smarter utilities

A leading utility company with over 3 million customers in the United States built an enterprise-wide data and analytics journey to accelerate insight-driven decisions across operations, customers, and networks.

 
Black-and-white low-angle view of a steel electricity transmission tower with power lines stretching across a cloudy sky and a building edge at right.
340,000
Integrated Smart Meters
60,000
Managed Distribution Transformers
+4.5 million
Daily Voltage Readings
+300 circuits
Covered with Advance Vegation Management
Power transmission towers under a starry night sky, with glowing orange long-exposure light trails along the lines and city lights on the horizon
From fragmented data to enterprise intelligence 
Objectives
Strategy definition and implementation the journey towards being a data driven company
Enabling a data driven power networks business

Proven delivery from ideation to deployment in a data & intelligence journey

Key Challenges
Tall electricity pylons carry power lines across open water, silhouetted against a pastel sunset sky with blue and orange clouds.
High granularity and amount of data coming from an extensive infrastructure
Electrical substation at dusk with steel transmission towers, transformers, cranes, and glowing light trails tracing power lines under a blue sky.
Fragmented data sources with heterogenous quality and digitalization in an aged power network
Tablets showing bar charts on a wooden table in a warm corporate lobby, with two blurred businesspeople talking near glass doors and seating in the background
Multiple stakeholders from the business and IT departments without a common data framework
Solution
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Discovery workshops with aligning Business and IT stakeholders to identify, qualify and prioritize use cases

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Implementation of a cloud data platform as a foundation to aggregate and exploit data from all the assets in the power network

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Implementation of advance analytics and artificial intelligence use cases, with a tangible business impact

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Enablement of business-oriented dashboards across the entire organization to address existing reporting gaps

Impact
Data Driven Power Network

Predictive maintenance of substations´assets and transformers load monitoring

Optimization of Estimated Restoration Time (ERT) in power outages

Overhead network inspection with real time AI driven scanning of components and automated defects identification

Over 130 million pieces of data processed in minutes on a daily basis

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