The life sciences industry faces an evolving landscape of exploding clinical data from wearables, ePRO, genetic biomarkers, and adaptive trials demanding faster analysis for key insights. Amid these pressures, data managers encounter five hidden data management issues that decrease clinical capacity within their technology stacks and drug development cycles. Veeva software empowers them by streamlining data integration, automation, and real-time analytics, transforming traditional roles into data science expertise as recommended by the Society for Clinical Data Management (SCDM)—marking a vital "second evolution" beyond early EDC adoption to build resilient, efficient systems for the future.

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