Today’s complex clinical trials yield data sets that are almost unimaginably large and complex. As a result, the process of transforming trial data into usable knowledge simply cannot be accomplished using traditional presentation methods such as conventional charts and graphs.
Instead, research organizations are beginning to intelligently apply data integration and visual analytics tools in ways that enable researchers to both explore and interact with aggregate data. What results is a new level of discovery with in-depth insight that would never have been achieved through a traditional review of the raw data.Wielding these advanced tools and rendering data in this expanded capacity are challenges requiring the deployment of well-established visual analytics theories, sophisticated software and a talented pool of programmers.
Yet despite the challenges, when properly applied, these data integration and visual analytics tools bring real-life potential to emerging concepts that would otherwise be relegated to “wish for” status.