Wimmy, based in Cape Town, South Africa, with satellite offices in Brussels, Belgium, is one of the leading specialists in data science health analysis that provide predictive diagnosis of occupational health and public health disease prevention. Wimmy’s advanced mathematical and statistical predictive diagnostic models and tools help organisations across the private and public sectors monitor, improve, and safeguard the health and wellbeing of their workforce by making sense of existing data. We guide them in their data analytics journey from data discovery, data extraction, compliance, forecasting, benchmarking, integration, and validation to meaningful and actionable insights that quantitatively measure improvements from health interventions introduced. We go well beyond descriptive data science analytics by introducing epidemiology, predictive analytics, causal analytics, artificial intelligence, and machine learning to health problems. This thorough approach, coupled with our extensive clinical, scientific and industry knowledge and support, helps organisations make improvements to workplace injuries, exposure to potential negative health elements, communicable and non-communicable diseases, as well as general health through healthy lifestyle choices, which all contribute to the overall well being of a workforce.