Academic Testing Company Minimizes Exposure to Fraud

Client: Academic Testing Company

Key Product Solution: Azure Machine Learning
Industry: Academic Testing

Pragmatic Works used predictive analytics and Azure Machine Learning to help an academic testing company identify patterns in their data and minimize exposure to fraud.


A large academic testing company that operates centers for standardized testing needed to identify patterns in their data to help expose fraud and cheating. Manual processes were not satisfying the business requirements and a predictive machine learning process was needed.


Pragmatic Works used Azure Machine Learning to access data stored in Azure Databases. Various experiments were developed to uncover patterns of possible fraudulent activities and areas of susceptibility. Several experiments were deployed as web services so they could be run in Data Factory. The results of the experiments were deployed to Azure Event Hubs and run with Azure Data Factory. A graphical representation was available via Power BI.

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