Raw data is crucial because it provides the initial inputs that can be transformed into statistical models and epidemiological findings. It allows researchers to conduct data cleaning, validation, and analysis to draw accurate conclusions. Without raw data, the ability to understand disease trends, identify risk factors, and develop public health interventions would be significantly compromised.