Data Governance Consulting Services | Enterprise Data Management
EPC Group delivers enterprise data governance consulting for Fortune 500 organizations. We implement Microsoft Purview for data cataloging, data quality management, master data management, and regulatory compliance (HIPAA, SOC 2, GDPR, CCPA). Enterprise Microsoft experience since 1997. 11,000+ engagements completed.
Key Facts
- EPC Group implements Microsoft Purview — Microsoft's unified data governance platform — for cataloging, classification, lineage, and policy management.
- Data governance services cover: data cataloging, data quality, master data management, metadata management, data lineage, and data classification.
- Compliance frameworks supported: GDPR, HIPAA, CCPA/CPRA, SOC 2 Type II.
- EPC Group uses a 4-phase governance framework: Assessment and Discovery, Strategy and Roadmap, Foundation Building, Scale and Optimize.
- Data governance engagements are fixed-fee, scoped after a discovery call — from assessment only to full enterprise implementation with ongoing managed services.
Data Governance That Drives Business Value
Last updated by Errin O'Connor, Founder & Chief AI Architect, EPC Group
Transform your data into a strategic asset with enterprise-grade governance. Expert data cataloging, quality management, and Microsoft Purview implementation for Fortune 500 organizations.
Comprehensive Data Governance Solutions
End-to-end data governance services that establish trust, ensure compliance, and unlock the value of your enterprise data assets.
Data Cataloging
Create a unified, searchable inventory of all enterprise data assets with rich metadata, business glossaries, and automated discovery.
- Automated data discovery
- Business glossary development
- Data asset inventory
- Search and discovery portal
- Data ownership assignment
- Cross-system cataloging
Data Quality Management
Implement comprehensive data quality frameworks with profiling, cleansing, monitoring, and continuous improvement processes.
- Data profiling & assessment
- Quality rule definition
- Automated cleansing
- Quality scorecards
- Issue remediation workflows
- Continuous monitoring
Master Data Management
Establish authoritative sources for critical business data including customers, products, vendors, and locations across all systems.
- Golden record creation
- Data matching & merging
- Hierarchy management
- Cross-system synchronization
- Data stewardship workflows
- MDM hub implementation
Metadata Management
Capture, manage, and leverage technical, operational, and business metadata to unlock the full value of your data assets.
- Technical metadata extraction
- Business metadata enrichment
- Metadata repository design
- Impact analysis capabilities
- Data dictionary creation
- Semantic layer development
Data Lineage
Trace data from source to consumption with end-to-end lineage mapping, enabling impact analysis and regulatory compliance.
- End-to-end lineage mapping
- Automated lineage discovery
- Impact analysis tools
- Transformation documentation
- Regulatory compliance support
- Visual lineage graphs
Data Classification
Systematically classify and label data based on sensitivity, regulatory requirements, and business value to enforce protection policies.
- Sensitivity classification
- Automated labeling
- PII/PHI detection
- Custom classification rules
- Policy enforcement
- Classification reporting
Microsoft Purview Implementation & Optimization
Use Microsoft Purview as your all-in-one data governance platform. Our experts will assist you in implementing, configuring, and optimizing Purview.
This will help you establish a complete data governance solution across:
- Azure
- On-premises
- Multi-cloud environments
- Unified data catalog across all data sources
- Automated data lineage and impact analysis
- Sensitive data discovery and classification
- Business glossary and data stewardship
- Policy management and access governance
- Integration with Azure, Microsoft 365, and Power BI
Microsoft Purview Capabilities
A unified data governance solution that helps you manage and govern your on-premises, multi-cloud, and SaaS data.
Unified Data Catalog
A single pane of glass for discovering, understanding, and governing all your data assets across Azure, on-premises, and multi-cloud environments.
Automated Data Lineage
Automatically capture and visualize data lineage across Azure Data Factory, Synapse Analytics, and other data movement tools.
Sensitive Data Discovery
Automatically detect and classify sensitive information including PII, PHI, and financial data across your entire data estate.
Data Map
Create a holistic, up-to-date map of your data landscape with automated scanning and business context enrichment.
Policy Management
Define and enforce data access policies at scale, ensuring compliance with organizational and regulatory requirements.
Insights & Analytics
Gain visibility into data asset distribution, classification coverage, and governance health across your organization.
Enterprise Data Management Capabilities
Comprehensive data governance capabilities that transform how your organization manages, protects, and leverages data assets.
Enterprise Data Strategy
Develop comprehensive data strategies aligned with business objectives and industry best practices.
Data Security
Implement robust security controls protecting sensitive data while enabling authorized access.
Stewardship Programs
Establish data stewardship programs with clear roles, responsibilities, and accountability.
Governance Operating Model
Design scalable governance operating models with policies, standards, and procedures.
Data Architecture
Build modern data architectures that support governance, analytics, and operational needs.
AI/ML Data Preparation
Ensure data quality and governance for AI/ML initiatives with trusted, governed data pipelines.
Regulatory Compliance for Data Governance
Meet GDPR, HIPAA, CCPA, and SOC 2 data requirements with governance frameworks designed for compliance from the ground up.
GDPR
General Data Protection Regulation
HIPAA
Health Insurance Portability and Accountability Act
CCPA/CPRA
California Consumer Privacy Act
SOC 2
Service Organization Control 2
Proven Data Governance Framework
A structured, phased approach that delivers quick wins while building sustainable, enterprise-scale data governance capabilities.
Assessment & Discovery
Comprehensive evaluation of your current data landscape, governance maturity, and pain points.
- Data estate inventory
- Stakeholder interviews
- Governance maturity assessment
- Gap analysis
- Risk identification
Strategy & Roadmap
Develop a tailored data governance strategy and implementation roadmap aligned with business goals.
- Vision and objectives definition
- Operating model design
- Technology selection
- Prioritized initiatives
- Success metrics
Foundation Building
Establish core governance capabilities including organization, policies, and technology platform.
- Governance council formation
- Policy framework development
- Technology implementation
- Initial data domain coverage
- Quick win delivery
Scale & Optimize
Expand governance coverage, automate processes, and continuously improve based on metrics.
- Domain expansion
- Process automation
- Advanced capabilities
- Performance optimization
- Continuous improvement
The Data Governance Experts Enterprise Trusts
With enterprise consulting since 1997 and Microsoft ecosystem expertise, we deliver data governance solutions that create lasting business value.
Enterprise Scale
Proven experience governing data across Fortune 500 organizations with billions of records.
Compliance Expertise
Deep expertise in HIPAA, GDPR, CCPA, SOC 2, and industry-specific data regulations.
Microsoft Expertise
Microsoft Gold Partner with extensive Purview, Azure, and Microsoft 365 implementation experience.
Business-First Approach
We prioritize business outcomes, not just technical implementations. Governance that delivers ROI.
Ready to Transform Your Data Governance?
Schedule a free consultation with our data governance experts. We'll assess your current state and provide a roadmap to enterprise-grade data governance.
Response within 24 hours. No obligation.
Frequently Asked Questions
What is Power BI and how can it help my organization?
Power BI is Microsoft's enterprise analytics platform that transforms raw data into interactive dashboards and reports. It enables data-driven decision-making across your organization with real-time insights, automated refresh, and role-based access control. EPC Group has delivered 200+ enterprise Power BI implementations.
How much does Power BI consulting cost?
Power BI consulting is scoped to the engagement: a focused dashboard project or an enterprise-wide analytics platform with governance frameworks. EPC Group provides detailed estimates after a free discovery session.
What industries does EPC Group serve with Power BI?
EPC Group delivers Power BI solutions across healthcare (HIPAA-compliant), financial services (SOC 2), government (FedRAMP/GCC), manufacturing, retail, education, energy, and professional services — all with industry-specific compliance and security configurations.
How long does a Power BI implementation take?
Timeline depends on complexity: a focused dashboard suite takes 4-8 weeks, a department-wide analytics rollout takes 8-16 weeks, and an enterprise platform with Fabric, governance, and training takes 4-6 months. EPC Group uses agile delivery with 2-week sprint cycles.
Data Governance That Drives Business Value
EPC Group provides enterprise data governance consulting for Fortune 500 companies. We implement Microsoft Purview for:
- Data cataloging
- Data quality management
- Master data management
- Regulatory compliance (HIPAA, SOC 2, GDPR, CCPA)
We have experience since 1997 with Microsoft and have completed 11,000+ engagements.
Comprehensive Data Governance Solutions
Data Cataloging
- Automated data discovery across on-premises, Azure, and multi-cloud environments
- Business glossary development — standardized definitions for critical business terms
- Data asset inventory — comprehensive map of all enterprise data assets
- Search and discovery portal so business users find trusted data without IT help
- Data ownership assignment — every critical dataset has a named business owner
- Cross-system cataloging connecting data assets across SQL Server, Azure, SharePoint, and third-party systems
Data Quality Management
- Data profiling and quality assessment — completeness, accuracy, consistency, timeliness
- Quality rule definition and automated rule enforcement
- Automated cleansing workflows for common data quality failures
- Quality scorecards published to data owners and executive sponsors
- Data quality alerting when thresholds are breached
Master Data Management
- Golden record creation — single authoritative source for Customer, Product, Supplier, and Employee entities
- Deduplication workflows for matching and merging records across source systems
- MDM hub design on Azure SQL or Azure Data Lake
- Stewardship portal for business users to review and approve master data changes
Metadata Management
- Business metadata capture — descriptions, owners, quality ratings, usage notes
- Technical metadata collection — column names, data types, row counts, refresh times
- Operational metadata — data refresh history, pipeline status, data freshness indicators
- Metadata propagation from source systems to Power BI and downstream reports
Data Lineage
- End-to-end lineage tracking from source system to Power BI report
- Impact analysis — which downstream reports break if an upstream table changes?
- Automated lineage capture via Microsoft Purview scanning and Azure Data Factory connectors
- Lineage documentation for compliance audits (SOX, HIPAA, GDPR)
Data Classification
- Sensitivity classification aligned with Microsoft Purview sensitivity labels (Public, Internal, Confidential, Highly Confidential)
- Automated classification scanning using built-in and custom classifiers
- Classification-driven access control — sensitivity label drives who can see what
- GDPR, HIPAA, and CCPA data subject identification using classification scans
Microsoft Purview Implementation
Microsoft Purview is EPC Group's primary data governance platform. We implement, configure, and operate Purview across six capability areas.
- Unified Data Catalog — Scan and register data assets from Azure, SQL Server, SharePoint, Power BI, and 200+ supported sources.
- Automated Data Lineage — Capture lineage from Azure Data Factory, Azure Synapse, Microsoft Fabric, and Power BI automatically — no manual mapping.
- Sensitive Data Discovery — Built-in classifiers for PHI, PII, financial data, and credentials. Custom classifiers for organization-specific sensitive data types.
- Data Map — Visual map of all data assets, their relationships, and sensitivity classifications across the enterprise.
- Policy Management — Data access policies that enforce who can read, modify, or share specific data assets — enforced at the data layer, not just the application layer.
- Insights and Analytics — Governance dashboards showing label adoption, asset coverage, classification completeness, and steward engagement.
Regulatory Compliance for Data Governance
GDPR
- Data subject request (DSR) workflows — locate, export, or delete personal data on request
- Lawful basis documentation for all personal data processing activities
- 72-hour breach notification process design
- Data Protection Impact Assessment (DPIA) templates for high-risk processing
HIPAA
- PHI data discovery and classification across all M365 and Azure services
- Access controls and audit logging for all PHI access
- Microsoft HIPAA BAA execution support
- HIPAA-aligned data retention and deletion policies
CCPA/CPRA
- California personal information inventory and classification
- Consumer opt-out and deletion request workflow design
- Data sale and sharing documentation for CCPA compliance
SOC 2
- Data governance controls mapped to SOC 2 Trust Service Criteria
- Access provisioning and deprovisioning workflows with audit trail
- Change management documentation for data platform modifications
- SOC 2 evidence package production from Purview audit logs
Proven Data Governance Framework
- Assessment and Discovery — Data inventory, maturity assessment, stakeholder interviews, governance gap analysis.
- Strategy and Roadmap — Governance operating model, platform selection, policy framework, roadmap with 90-day milestones.
- Foundation Building — Purview deployment, initial catalog, stewardship program launch, baseline data quality rules.
- Scale and Optimize — All domains covered, automated quality monitoring, compliance evidence production, CoE self-sustaining.
Frequently Asked Questions
What is enterprise data governance?
Data governance includes policies, processes, and technology controls. These elements ensure that enterprise data is accurate, accessible, secure, and compliant. It addresses:
- Data quality
- Data classification
- Data lineage
- Data stewardship
- Access control
These aspects apply to all data assets within the organization.
Why use Microsoft Purview for data governance?
Microsoft Purview is the governance platform designed for organizations using Microsoft 365 and Azure. It automatically scans, classifies, and catalogs data assets.
Purview works seamlessly with:
- Power BI
- Azure Data Factory
- Microsoft Fabric
This integration allows for automated lineage. Furthermore, sensitivity labels enforced in Purview apply across the entire Microsoft 365 ecosystem.
How much does data governance consulting cost?
Assessment-only engagements are a fixed fee priced after a scoping call. Full enterprise data governance implementations, which include:
- Purview deployment
- Stewardship programs
- Compliance framework mapping
These implementations are fixed-fee, scoped after a discovery call. Additionally, ongoing managed governance services are available through a monthly retainer.
How long does a data governance implementation take?
The assessment and strategy phase lasts 6–8 weeks. Foundation building includes the following:
- Purview deployment
- Initial catalog
- Stewardship launch
This phase takes 12–16 weeks. Achieving full enterprise scale, with all domains covered, requires 6–12 months. Self-sustaining Center of Excellence (CoE) operations develop in year 2.
What is the difference between a data catalog and a data governance platform?
A data catalog is a key part of data governance. It serves as a searchable inventory of data assets, complete with business metadata.
A data governance platform, such as Microsoft Purview, offers additional features. These include:
- Classification
- Lineage
- Policy management
- Access control
- Compliance reporting
Ready to Transform Your Data Governance?
EPC Group has delivered enterprise data governance programs for Fortune 500 and regulated-industry clients on Microsoft Purview. Call (888) 381-9725 or request a data governance assessment.
Related reading
- Microsoft Purview Data Catalog & Data Map Enterprise Hub (2026)
- Time Series Forecasting Advanced Statistical Analysis Of The Data
- Why Are Microsoft Power BI And Excel Best For Solving Data Analysis Problems
- Why Data-Driven Decision-Making Is Gaining Ground
- Purview Insider Risk Management Implementation (2026)
