Streamlining data handling and driving informed decision making | HCLTech

A leading healthcare solutions provider sought to enhance productivity in data handling and leverage insights from the data. Challenges in their existing system included comparing premiums with real-time effects, making predictions from disparate sources and difficulty in identifying potential leads.

Our solution utilized Alteryx workflows to estimate health insurance costs and perform lead scoring, streamlining processes and empowering informed decision-making. As the case study explains, the impact was significant, with faster diagnostic model creation, a reduction in analytics process time and improved efficiency through industrialized machine learning and low-code capabilities.

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