How Analytics Is Used to Identify Health Risks and Prevent Work Disability

Keva is the largest pension provider in Finland, serving 1.3 million pensioners and employees. Statistics show that early retirement due to work-related disability has been constantly increasing, and the related costs are spiraling upward. Keva and SAS have been working together to solve this issue by extracting new risk indicators using text analytics and creating even more powerful predictive models to understand underlying risk factors. Join us as we show how text analytics and machine learning can be used to identify and prevent work-related disability in the public sector. Keva can help public sector organizations predict and prevent work-related disability so that employees remain healthy during their careers and long after. Presenting Company: Keva

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