Engineers are often overloaded with data and can waste much time looking for the data they require. Timely storage, retrieval, and usage of that data often limits the ability to get the right information to the right person, causing costly delays and/or wrong decisions to be made. All too commonly, the location and meaning of the data is really known only by the test engineer who measured it. Data from expensive physical tests can rapidly become worthless, and in some cases, complete tests may have to be repeated. One part of the solution is to enable collaboration between the design, analysis, and test departments; another is to use web-based technology to automate data analysis efficiently. This presentation will highlight how large amounts of data are handled efficiently in nCode Automation, a collaborative, web-based environment for automated analysis and test data management.