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Pharmaceutical Analytics refers to the application of data science, statistical methods, and AI/ML techniques to improve decision-making across the pharmaceutical value chain. It helps pharma companies drive innovation, efficiency, compliance, and patient-centric outcomes by transforming raw data into actionable insights. Key areas of Pharmaceutical Analytics include: • Drug Discovery & Development – Using AI and bioinformatics to identify drug targets, biomarkers, and optimize clinical trial design. • Clinical Trials Analytics – Patient recruitment, trial monitoring, and outcome prediction to reduce time and cost. • Manufacturing & Quality Analytics – Monitoring batch processes, ensuring GMP compliance, and improving yield. • Regulatory & Compliance Analytics – Automating reporting, risk assessment, and pharmacovigilance. • Commercial & Market Analytics – Forecasting demand, sales optimization, and analyzing physician/patient behavior. • Real-World Evidence (RWE) – Leveraging EHRs, claims, and patient data for post-market surveillance and drug effectiveness studies.