- Data redundancy is the unnecessary duplication of the same data in multiple places.
- It can lead to storage inefficiency and inconsistent information.
- In one project, customer details were stored in both CRM and sales tables.
- We introduced a central dimension table to remove duplicates.
- This ensured updates in one place reflected everywhere.
- As a BA, I identify redundancy during data modeling or ETL design.
- Reducing redundancy improves data accuracy and system performance.
- It simplifies maintenance and reporting.
What is data redundancy?
Updated on January 2, 2026
< 1 min read
