DSCVR 2019.2 Release

DSCVR 2019.2 Release Notes

Date: 10/16/19

Key features in this release

New Grid Features

  • Users can now copy data from the grid into their clipboard and paste it inside or outside of DSCVR
  • Tooltips now display on hover when the whole content of a cell is not visible
  • Users can now set the width of their columns from the column formatting operation or directly in the grid with a drag handle
  • Users can hide columns from the column header

Enhanced Analysis

  • DSCVR now supports creating models by using any of the following functions in the add column operation
    • Clustering (g_cluster)
    • Generalized linear regression (g_glm)
    • Least-squares linear regression (g_lsq)
    • Weighted least-squares linear regression (g_wlsq)
    • Logistic regression (g_logreg)
    • Various other regression algorithms (g_liblinear)
    • Principal component analysis (g_pca)
    • Information value (g_info_iv)
    • Theoretic value weight of evidence (g_info_woe)
  • The expression editor received various enhancements to improve usability

Data Connections

  • Incremental Update is now available and speeds up uploads for big data. It allows users to load and append to their target DSCVR table the newly created records in their source data.
  • The connection to Salesforce has been entirely reworked to provide a better user experience with immediate loading, status feedback, and a workflow entirely integrated in DSCVR.
  • In addition to regular users creating imports from the DSCVR UI, Data Engineers can now use The Orchestrator to execute complex data transformations into DSCVR


  • Session lengths can extend to 24-hours without being prompted for a re-login due to enhancements in DSCVR's back-end
  • Operation headers in the timeline are now sticky
  • Various bug fixes and UX enhancements