The goal of Data Management is to help authors stay organized with multiple data files. It offers tools for working with data and checking it. Click a tile below to learn more:
Keep track of file revisions. Stage, revert.
View differences between files or file revisions.
Thoroughly test new data before live deployment.
Inspect data cells to understand data and notice anomolies
Create automated data processing workflows
Elegantly handle looping and matrix questions.
Know exactly where every dataset and var is used.
Automated test to ensure greater confidence across revisions.