Etai Mizrahi from Secoda about data debt.
The 4 D’s of data debt
- Dark
- Duplicate
- Dirty
- 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.