Digital Analytics & Data-Driven Decision-Making in Pharma R&D

Pharma R&D generates large volumes of experimental, analytical, process and operational data. However, converting this data into meaningful insights requires structured approaches to data management, analytics and decision-making. This one-day program helps R&D professionals understand how digital analytics can improve scientific decision-making across discovery, development, process optimisation and portfolio execution. Participants explore the R&D data landscape, KPI frameworks, analytics approaches, dashboard design and data-driven storytelling. The program focuses on moving from raw scientific data to actionable insights that support faster decisions, improved resource allocation and better development outcomes. Through hands-on exercises and case discussions, participants learn how to analyse R&D datasets, identify performance drivers and create management-ready recommendations.

Who Should Attend

• Pharma R&D Scientists & Project Managers
• Biologics Development Teams
• Process Development Professionals
• CMC Teams
• Analytical Development Teams
• Digital Transformation Teams supporting R&D
• Data Analytics Professionals working with pharma teams
• R&D Leaders seeking data-driven decision-making capability

Business Outcomes

• Understand how scientific and operational data can improve R&D decision-making.
• Identify relevant KPIs for monitoring R&D performance.
• Apply analytics approaches to identify trends, bottlenecks and improvement areas.
• Design effective dashboards for different stakeholder groups.
• Convert analytical insights into actionable recommendations.
• Improve collaboration between scientists, data teams and leadership.
• Enable more evidence-based prioritization of R&D resources.