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How Advanced Analytics Can Protect Revenue

Using Analytics to Increase Revenue

Utilities nationwide are experiencing flat or declining revenue. This is due, in part, to the fact that the public steals 1% of the energy created by electric companies by re-configuring their meter or re-routing energy around the meter.

Perficient created a theft detection solution built on analytics platforms and tools, such as SAS and R, designed to uncover anomalies in customer meter and usage data. This solution leveraged custom machine learning algorithms to perform pattern recognition analysis against known instances of theft.

As a result of the new approach and process, theft is now more easily detected. The solution is being rolled out to analyze a larger subsection of customer data, which will save our client potentially millions of dollars annually.

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Albert Qian

Albert Qian is a Marketing Manager at Perficient for our IBM PCS, DevOps, and Enterprise Solutions Partners focused on cloud computing technologies.

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