As innovation in clinical development continues to accelerate and decentralized trial (DCT) models become more widely adopted, the volume of clinical trial data from a variety of sources continues to proliferate, creating both opportunities and challenges for life sciences organizations. While more advanced trial modalities such as DCT make trials more accessible and relieves patient burden, the volume and variety of study data collected adds to the complexity of managing clinical data workflows throughout the trial lifecycle.