Fraud DetectionSystem for Electricity Consumption

Electricity Distribution Company

Project overview

The client wanted to identify the sources of commercial losses for electricity consumption, specifically fraudulent activities by consumers.

Project process

The challenge involved building a system to detect sources of commercial losses and fraudulent activities among electricity consumers.


The Data & Analytics team built a system that analyzed data from the client's SAP system to identify fraudulent activities. The system provided an analytical environment for business users to monitor the identified losses and take corrective actions.

Microsoft Azure (Data Factory, Databricks, ADLS, Datamart, WebApp, etc.)
6 people


The system increased the identification of fraud by 50%. The analytical environment enabled business users to monitor identified losses and take corrective actions, helping the company target and reduce commercial losses.

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