Mavryck Blogs
Gigo In Infrastructure
GIGO in Infrastructure: Why Clean Data is Everything
The Hidden Cost of Dirty Data
Bad data leads to flawed forecasts, incorrect reports, and delayed action—especially in high-stakes infrastructure projects.
- Manual checklists introduce human error
- Schedule updates reflect outdated progress
- PMOs struggle with inconsistent reporting
How Mavryck Fixes It
Mavryck’s GIGO engine validates, cleanses, and detects inconsistencies in real time—ensuring confidence in every data-driven decision.
- Auto-flags missing, reversed, or duplicate entries
- Validates logic across checklists, schedules, and logs
- Prevents downstream rework caused by faulty data
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