Summary
This technical report is the second article in a series focusing on the research and development (R&D) stage of the life sciences value chain. It outlines the challenges organizations face to enhance R&D productivity while navigating significant barriers related to data management and operational efficiency. The report details how modern laboratories generate large volumes of data and adopt advanced technologies but still struggle with translating this data into productivity gains. A central issue identified is data fragmentation within complex digital environments that disrupt scientific collaboration and operational workflows. The report highlights the growing importance of decision velocity over mere data generation in achieving competitive advantages. It also discusses the talent constraints that hinder the adaptation of digital tools and methodologies, emphasizing the need for organizations to rethink their R&D processes. By fostering stronger cross-functional collaboration and integrating digital capabilities, organizations can improve productivity and accelerate innovation in life sciences.
