Quality Risk Management in the pharmaceutical industry has a crucial responsibility for the safety of patients, as well as it is business-critical. Traditionally, it is often reactive and based on qualitative methods. This research enables proactive management and inspection readiness based on applying data science methods on operative performance indicators from production and QC labs. Companies and regulators can achieve higher drug safety standards while improving drug availability and costs.