Case Study: E.ON achieves faster outage recovery and automated, scalable data-quality management with Lavastorm Analytics

E.ON Manages Data Quality Issues and Massive Data Volume Increases with Lavastorm

E.ON, a global energy provider with operations in 30+ countries and more than 30 million customers, faced critical data quality problems at its Swedish subsidiary E.ON Elnät after major storms left 341,000 customers without power in 2005 and prolonged outages that sometimes lasted weeks. Manual, monthly reporting using SQL and Excel made it hard to pinpoint outage locations or respond quickly, and the move to hourly meter readings created a 700-fold surge in data volume that their existing processes could not scale to handle.

By deploying Lavastorm to integrate SAP, the network information system, meter data and other sources, E.ON automated ETL and analytics, exposed mismatches and blanks with visual models, and increased data-quality checks from monthly to every other day. The result: faster anomaly detection and fixes, a 50% reduction in management reports, improved trust in BI dashboards, the ability to process the 700× data increase, and measurably quicker recovery and reduced losses.

E.ON

Torbjorn Stenstrom

Operational Development , E.ON