Programmable data is data that you can manipulate and control when generating synthetic data from original data. During this process, the statistical features of the data can be rebalanced, imputed, or have a stricter or looser adherence to the detected distributions and correlations. This allows you to improve downstream machine learning model performance, simulate what-if scenarios, or generate test data that has an improved ability to reveal software defects. Programmable data can be very useful for analytical purposes and data exploration.