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.

 
340,000
Integrated Smart Meters
60,000
Managed Distribution Transformers
+4.5 million
Daily Voltage Readings
+300 circuits
Covered with Advance Vegation Management
From fragmented data to enterprise intelligence 
The customer decided to create a new workstream to enable the organization to use the data as a key input for the company strategy & operations.
Objectives
Strategy definition and implementation the journey towards being a data driven company

The regulators are pushing hard in the US to empower customers and boost DER growth,introducing a new range of data,where Advanced Analytics are identified as a foundational capability in Future Utility Planning.

Enabling a data driven power networks business

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

Key Challenges
High granularity and amount of data coming from an extensive infrastructure
Fragmented data sources with heterogenous quality and digitalization in an aged power network
Multiple stakeholders from the business and IT departments without a common data framework
Solution
check icon

Discovery workshops with aligning Business and IT stakeholders to identify, qualify and prioritize use cases

check icon

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

check icon

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

check icon

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

Drag