Data Governance Consulting Services
Poor data governance costs the average organisation $12.9 million annually through bad decisions made on unreliable data, compliance fines, and duplicated effort across teams. Opsio builds data governance programmes that ensure your data is accurate, discoverable, secure, and compliant — turning data from a liability into your most valuable strategic asset.
Trusted by 100+ organisations across 6 countries · 4.9/5 client rating
95%+
Data Quality Score
60%
Faster Data Discovery
100%
Compliance Coverage
3x
Faster Reporting
Transform Data Into a Trusted Strategic Asset
Most organisations have more data than ever — and less trust in it. Data lives in silos across cloud data warehouses, SaaS applications, legacy databases, and spreadsheets. Nobody agrees on the definition of 'active customer' or 'monthly revenue.' Regulatory requirements (GDPR, NIS2, DORA) demand you know what personal data you hold, where it resides, and who can access it — but answering these questions takes weeks of manual investigation. Gartner estimates that poor data quality costs organisations an average of $12.9 million per year in wasted resources, missed opportunities, and bad decisions. Opsio's data governance consulting establishes the policies, processes, roles, and technology that bring order to data chaos. We implement data governance frameworks that define data ownership, quality standards, access policies, and lifecycle management across your organisation. Using platforms like Azure Purview, AWS Glue Data Catalog, Collibra, or Informatica, we build a searchable data catalog where every dataset has a defined owner, quality score, lineage trail, and classification label.
Our approach is pragmatic, not bureaucratic. We start with the data domains that matter most to your business — customer data, financial data, product data — and establish governance incrementally. Data stewards are embedded in business teams, not isolated in an IT function. Quality rules are automated, not manual checklists. Access policies are enforced through technology, not hope. The result is a data governance programme that delivers measurable improvements in data quality, compliance readiness, and time-to-insight.
What We Deliver
Data Governance Framework Design
Tailored governance frameworks defining data ownership, stewardship roles, decision rights, and escalation paths. We design frameworks aligned to DAMA-DMBOK principles and your organisational structure, ensuring governance is practical and sustainable rather than theoretical.
Data Cataloging & Metadata Management
Implementation of enterprise data catalogs using Azure Purview, AWS Glue Data Catalog, Collibra, or Alation. Automated metadata harvesting, business glossary creation, data lineage tracking, and search-based discovery so every analyst can find trusted data in minutes.
Data Quality Management
Automated data quality rules for completeness, accuracy, consistency, timeliness, and uniqueness. Quality dashboards with trend analysis, anomaly detection, and remediation workflows. We implement tools like Great Expectations, Soda, or dbt tests to embed quality checks into data pipelines.
Regulatory Compliance & Privacy
GDPR data mapping, Article 30 records of processing activities, data subject request automation, and privacy impact assessments. NIS2 and DORA data security requirements mapped to governance controls with automated compliance monitoring.
Data Classification & Access Control
Automated data classification using sensitivity labels (public, internal, confidential, restricted) with policy-based access control enforcement. Integration with Azure Information Protection, AWS Macie, or custom classification engines.
Ready to get started?
Contact UsWhy Choose Opsio
Pragmatic, Not Bureaucratic
We build governance programmes that people actually follow — automated enforcement, embedded stewards, and incremental rollout. No 500-page policy manuals.
Technology-Enabled
Data catalogs, automated quality checks, and classification engines that enforce governance through technology rather than manual processes.
Compliance-Driven
Deep expertise in GDPR, NIS2, DORA, and sector-specific data regulations ensures your governance programme meets regulatory requirements.
Business Outcome Focus
We measure success by business outcomes — faster reporting, fewer data disputes, reduced compliance risk — not by the number of policies written.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our Delivery Process
Assess
Current-state assessment of data landscape, ownership gaps, quality issues, and compliance risks. Deliverable: data governance maturity scorecard.
Design
Governance framework design including roles, policies, standards, and technology architecture. Timeline: 2-4 weeks.
Implement
Deploy data catalog, quality rules, classification engine, and stewardship workflows. Timeline: 6-12 weeks.
Operate
Ongoing governance operations: quality monitoring, catalog maintenance, compliance reporting, and steward support. Timeline: ongoing.
Key Takeaways
- Data Governance Framework Design
- Data Cataloging & Metadata Management
- Data Quality Management
- Regulatory Compliance & Privacy
- Data Classification & Access Control
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Data Governance Consulting Services FAQ
What is data governance consulting?
Data governance consulting helps organisations establish the policies, processes, roles, and technology needed to manage data as a strategic asset. This includes defining data ownership, quality standards, access policies, classification schemes, and compliance controls. Opsio delivers data governance programmes that are practical, technology-enabled, and aligned to regulatory requirements like GDPR, NIS2, and DORA.
How long does it take to implement data governance?
A foundational data governance programme covering 2-3 critical data domains typically takes 3-6 months to implement. Enterprise-wide governance spanning all data domains takes 12-18 months. Opsio takes an incremental approach — starting with high-value data domains and expanding governance scope over time. You see measurable improvements in data quality and discoverability within the first quarter.
What tools does Opsio use for data governance?
We implement Azure Purview, AWS Glue Data Catalog, Collibra, Alation, or Informatica for data cataloging and metadata management. Data quality is automated through Great Expectations, Soda, or dbt tests. Classification uses Azure Information Protection, AWS Macie, or custom engines. Tool selection depends on your existing cloud platform, data architecture, and budget.
How does data governance support GDPR compliance?
Data governance provides the foundation for GDPR compliance: data cataloging tells you what personal data you hold and where, data classification identifies sensitivity levels, access controls enforce the principle of least privilege, lineage tracking shows how data flows through systems, and retention policies ensure data is deleted when no longer needed. Opsio automates GDPR Article 30 records and data subject request fulfillment as part of the governance programme.
Still have questions? Our team is ready to help.
Contact UsData Governance Consulting Services
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