Data Governance Consultancy Services
Data Governance Consultancy Services
As organisations adopt modern data platforms, AI, and self‑service analytics at scale, governance becomes a critical foundation rather than an afterthought. Effective data governance ensures that data is trusted, secure, discoverable, and fit for purpose.

Data Governance Consultancy Services
Build Trust, Control, and Confidence in Your Data
What Is Data Governance?
- Owned and accountable
- Consistently defined and understood
- Securely accessed and appropriately shared
- Discoverable and reusable
- Compliant with regulatory and organisational requirements
Why Data Governance Matters?
- Cloud data platforms and analytics services
- Self‑service BI and shared semantic models
- Microsoft 365 content and collaboration tools
- AI, Copilot, and advanced analytics workloads
- Faster, safer self‑service analytics
- Clear ownership and stewardship of data assets
- Reduced risk around data protection and compliance
- Greater confidence in AI‑driven insights and automation
Our Approach to Data Governance
- Practical – designed for day‑to‑day use
- Scalable – able to grow with your data platform
- Integrated – embedded into existing processes and tooling
- Adopted – understood and used by business and technical teams
Data Governance & Microsoft Purview
- Data discovery and cataloguing
- Data lineage and impact analysis
- Sensitivity labelling and classification
- Policy‑based controls across analytics and Microsoft 365

How PTR Can Help?
Data Governance Strategy & Framework Design
- Current-state assessment and governance readiness
- Target governance operating model design
- Definition of roles and responsibilities
- Alignment with data strategy, analytics, and AI roadmaps
Policies, Standards & Practical Controls
- Data classification and sensitivity standards
- Naming conventions and metadata standards
- Data quality principles and ownership
- Usage, sharing, and retention guidance
Discovery, Metadata & Trust in Data
- Common business definitions and terminology
- Metadata and cataloguing approaches
- Lineage and impact analysis practices
- Processes for promoting and endorsing trusted data assets

Governance for Analytics & AI
- AI and Copilot workloads access only trusted, governed data
- Sensitive information is correctly classified and protected
- Lineage and provenance are understood and auditable
- Governance supports, rather than blocks, innovation
Why PTR?
- Balanced, pragmatic governance – focused on outcomes, not overhead
- Strong alignment with analytics and data strategy
- Hands‑on delivery experience across Fabric, Power BI, Azure, and Microsoft 365
- Enablement‑first consulting – building internal capability rather than dependency
Get Started with Data Governance
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