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BUILDING DATA TRUST: ESTABLISHING A SCALABLE GOVERNANCE FOUNDATION

How a Large Enterprise Strengthened Data Governance and Enabled Trusted Analytics

As data ecosystems expand, access often grows faster than clarity.

That was the challenge faced by a large enterprise whose data landscape had scaled across teams and platforms without consistent governance. Data was available — but not always understood, trusted, or confidently used. Ownership was unclear, lineage visibility was limited, and sensitive data management lacked structure.

Partnering with CI&T, the organization built a practical, scalable governance foundation using Microsoft Purview — transforming fragmented data into trusted, discoverable, and accountable assets.

THE CHALLENGE

Limited Data Trust

Users struggled to understand definitions, ownership, and reliability of available data assets.

Low Lineage Visibility

Upstream and downstream dependencies were unclear, increasing operational risk.

Unclear Ownership & Stewardship

No consistent accountability model across domains.

Compliance Risk

Sensitive information was difficult to identify and manage systematically.

The organization needed governance embedded into daily workflows — scalable, usable, and sustainable.

THE SOLUTION

CI&T implemented Microsoft Purview over four months, focusing on adoption and measurable business value.

Enterprise Data Catalog Implementation:

Full deployment across the data environment, beginning with complete Snowflake asset coverage.

Metadata & Domain Framework:

Defined data domains, standardized metadata models, and established ownership and stewardship roles.

Column-Level Classification:

Reviewed and classified more than 8,000 columns, enabling automated identification of sensitive data.

End-to-End Lineage Mapping:

Mapped priority data products to increase change transparency and reduce operational risk.

Enablement & Adoption:

Trained teams to actively use the catalog, improving data literacy and encouraging long-term governance practices.

The solution was delivered with a lean operational model and low ongoing cost.

THE IMPACT

The organization moved from fragmented data visibility to a transparent, trusted ecosystem, enabling:

Improved self-service data discovery
Reduced dependency on technical teams
Safer evolution of pipelines and dashboards
Clear accountability across domains
Stronger privacy and compliance posture
Scalable foundation for analytics and responsible AI

Governance shifted from reactive control to proactive enablement.

TECHNOLOGIES USED

Microsoft Purview

Enterprise data catalog, governance, classification, and lineage

Snowflake

Core cloud data platform

Data Discovery

Automated metadata scanning and classification

WHY IT MATTERS

Data governance should accelerate innovation — not slow it down.

By building a practical and scalable governance foundation, CI&T enabled this organization to transform data into a trusted strategic asset, creating the conditions for confident decision-making, scalable analytics, and responsible AI adoption.

This case demonstrates that effective governance becomes a growth enabler when usability and structure are balanced.