Engineering 14 min readMar 17, 2026

Building a "Zero-Trust" Data Quality Framework for BI

Building a "Zero-Trust" Data Quality Framework for BI
Datta Sable
Datta Sable
BI & Analytics Expert

The Cost of Bad Data

In high-stakes BI, trust is fragile. We use a Zero-Trust Data Quality Framework to assume all data is flawed until proven otherwise.

"Assumes all data is flawed until proven otherwise." — Datta Sable

Shift-Left Testing

Caught errors early via Data Contracts are critical for modern orchestration. Every dashboard should feature a visible 'Health Badge' to communicate trust directly.

Datta Sable
VERIFIED-AUTHOR

Datta Sable

Senior BI Developer & Data Architect with over 10 years of experience in engineering high-fidelity analytics systems. Specialized in Tableau, Power BI, SQL, and Python-driven automation for enterprise-grade decision clarity.