Engineering teams depend on digital data to design, validate, and deliver products. When that data is lost, incomplete, or unreliable, the impact is rarely isolated to a single file or project. It shows up as time spent searching, rebuilding work that already existed, and delayed decisions that slow progress.
This infographic highlights how common data loss is in engineering organizations, how time is lost searching for information, and how missing or unreliable data directly leads to rework and delayed progress.
Highlights:
- The most common causes of engineering data loss
- How much engineering time is spent searching for files
- Why lost data often results in rework
- What happens when data cannot be fully recovered