Governance is how data remains usable at scale. It ensures the right people can find the right data, understand it, and use it responsibly. We start by aligning governance goals with business outcomes—not just policy documents. Then we design the operating model (roles, councils, RACI), implement catalog, lineage, and classification with Microsoft Purview, and embed quality rules, privacy, and access controls into daily delivery.
Our approach standardizes definitions, domains, and policies, while keeping teams agile. We integrate governance with your platforms—Microsoft Fabric, Power BI, SQL Server, and Azure services—so analytics and AI move faster without compromising security or compliance.
Key Capabilities
Microsoft Purview Implementation
catalog, lineage, classification, business glossary
Policy & Control Frameworks
retention, masking, labeling, data domains, lifecycle
Access & Entitlements
RBAC models, approvals, periodic access reviews, SoD
Data Quality Management
rules, profiling, scorecards, dashboards & alerts
Risk & Compliance
PII detection, DPIA support, audit trails and evidence packs
Operating Model
councils, roles, KPIs, rollout and change management
Key Benefits
Higher Trust in Analytics & AI
Consistent definitions and quality make insights reliable and repeatable
Lower Risk of Breaches & Fines
Controlled access, masking, and privacy safeguards prevent misuse.
Faster Data Discovery
A searchable catalog and glossary accelerate onboarding and reuse.
Consistent Data Definitions
Standard terms reduce ambiguity across BI, AI, and reporting.
Better Agility with Control
Clear ownership enables rapid, safe delivery without chaos.
Audit-Ready Evidence
Lineage, policies, and logs provide defensible documentation.
Improved Data Quality
Measurable SLAs and remediation workflows raise data reliability.
Scalable Governance
A pragmatic operating model grows with teams and initiatives.
Integrated with Your Stack
Governance woven into Fabric, Power BI, SQL, and Azure services.
How We Deliver
Business Alignment & Scope
Map governance objectives to outcomes (e.g., self-service BI, regulated reporting), define data domains and success metrics.
Operating Model & Roles
Establish ownership, stewardship, councils, and RACI. Create a practical cadence for decisions, exceptions, and reviews.
Catalog, Lineage & Classification
Roll out Microsoft Purview for discovery and impact analysis; classify sensitive data, and build a business glossary.
Policies & Access Controls
Implement retention, masking, labeling, and RBAC/least privilege. Automate policy enforcement and evidence collection.
Data Quality & Observability
Define rules, SLAs, and scorecards for completeness, timeliness, and accuracy; monitor and remediate issues with workflows.
Adoption, Change & Continuous Improvement
Train stewards and users, publish playbooks, measure governance KPIs, and iterate governance based on feedback and audits.