The effective and efficient use of information generated during the progression of a chemical biology research project is essential for the successful outcome of that project. Clearly the amount of experimental and in-silico data generated for each compound in a project can become quite voluminous and difficult to organize, find and interpret. This ever-increasing amount of data associated with an ever-increasing number of compounds becomes difficult to analyze without tools to visually explore relationships in these data sets. CDD Visualization is a full featured, web-based visualization application designed specifically for exploring large chemical biology research data sets. The CDD Visualization module (https://www.collaborativedrug.com/cdd-visualization/) is fully integrated into CDD Vault (https://www.collaborativedrug.com/benefits/) and is also available free of charge as a stand-alone web-based resource. This software allows the user to import chemical structures with associated experimental and calculated data. The user is then presented with a chemical structurally aware data table for SAR analysis and a variety of 2- and 3-D plotting options. Substructure searching and R-group analysis is also available. In addition, a variety of in-silico properties can be calculated for the chemical structures in the data set. Moving beyond spreadsheets and into visual analytics is one way to quickly uncover relationships in large data sets that might otherwise be overlooked. During this talk we will give a brief overview of the CDD Vault platform and how using visual analytics can increase the effectiveness and efficiency of chemical biology researchers.