Etai Mizrahi from Secoda about data debt.

The 4 D’s of data debt

  1. Dark
  2. Duplicate
  3. Dirty
  4. Decayed

Some solutions could be standardizing data visualizations and removing unused reports, defining data dictionaries, adopting a data catalogue that alerts teams when things need documentation, and instituting data quality procedures.

To How To Stay Ahead of Data Debt and Downtime