Case Study: Pirkx achieves data-driven insights and improved decision-making with OnGraph Technologies’ AWS analytics and ML solution

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Preview of the Pirkx Case Study

Pirkx improves churn prediction accuracy to 85% with OnGraph Technologies

Pirkx, a company in the healthcare and benefits industry, faced challenges with data silos, manual data processing, and a lack of predictive analytics capabilities. They partnered with OnGraph Technologies to leverage AWS data analytics and machine learning services to gain deeper customer insights and improve decision-making.

OnGraph Technologies implemented a comprehensive AWS solution, including AWS Glue for ETL, Amazon S3 for data storage, Amazon SageMaker for machine learning, and Amazon QuickSight for business intelligence. The results were significant, including a 70% reduction in ETL time, an 85% churn prediction accuracy, a 90% personalized recommendation accuracy, and a 35% reduction in infrastructure costs.


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