Best Practices for Adopting a Data Workbench

With the number of data sources in clinical trials increasing, more companies have begun adopting data workbench technologies. Experience shows that companies that simply replicate reports from their previous tools fail to benefit from the advances that a data workbench offers.

Traditional tools often involve complicated scenarios, filtering conditions, and selection criteria, to generate a report. Workbenches can simplify work for data managers with purpose-built reporting for different cleaning scenarios and integrated query management. Workbenches may also support data transformations, equipping data managers in addition to clinical programmers to ready data for Stats. 

This session presents use cases and insights from companies that recently adopted a new data workbench and will help other sponsors plan their adoption journey, establish common use cases for discrepancy management, and make the most of their new data workbench.