PPL Corporation

Advanced meter data analysis provides the key to understanding customers and saving money

Published on 12 Apr 2016

IBM Analytics helps us identify and reach out to at-risk customers, and avoid lost revenue.

Domenic Breininger, Supervisor – Business Intelligence, PPL Corporation

Customer
PPL Corporation

Industry
Energy & Utilities

Deployment country
United States

Overview

PPL Corporation, one of the largest investor-owned utilities in the US, provides electricity for 10.5 million customers in the US and UK. Employing around 13,000 people, the company achieved annual revenues of USD 11.5 billion in 2014, and has won 38 J. D. Power awards for customer satisfaction.

Business need
With several major infrastructure initiatives on the horizon, including a large meter replacement project, PPL needed a better way to manage and analyze financial, operational and asset data.

Solution

PPL and IBM are collaborating on a three- to five-year project to develop the IBM® Data Model for Energy & Utilities. IBM is also providing analytics services to address immediate business challenges.

Benefits
PPL can target infrastructure investments to improve reliability, cut operating costs and improve customer care.

Components

IBM products and services that were used in this case study.

Software
InfoSphere Information Server, IBM SPSS Modeler, InfoSphere Data Architect, PureData System for Analytics (powered by Netezza technology), PureData System for Analytics, IBM Data Model for Energy and Utilities, IBM Insights Foundation for Energy

Services
IBM Global Business Services

Solution
InfoSphere Information Server, SPSS Modeler, PureData System for Analytics (powered by Netezza technology), E&U: Intelligent Utility Network (IUN), BA - Business Analytics, BA - Predictive Analytics, BA - Performance Management, BA - Predictive and Business Analytics - Predictive Maintenance, Business Analytics, IBM Analytics, IBM Analytics - Predictive Maintenance and Quality, , Performance Management, Enabling Business Flexibility, Information Management Foundation, Information Governance, Data Warehouse

Legal information

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