A pharmaceutical giant needed to develop personas for potential patients.
Data for over 800,000 patients was tracked over a period of 7 years
Key parameters relevant to the therapy area were identified
A clustering algorithm was employed to segment the patients
Emergent segments were further analyzed to create personas
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