Data Governance Services
Build Trusted Data for Better Decisions and Responsible AI
Digitium IT Services helps organizations establish practical data governance, improve data quality and make enterprise data easier to discover, understand and use. Our specialists support governance strategy, metadata management, data cataloging, classification, lineage and stewardship, with implementation and managed services for Microsoft Purview, Collibra and other data governance tools.
Move from isolated policies to a governed operating model.
Data governance succeeds when business ownership, operating processes and technology work together. Digitium helps clients establish accountable owners, shared definitions, measurable data quality and transparent lineage.
We start with priority business outcomes and critical data, then scale the governance model across domains, systems and teams.
From policy to practice
A practical governance model that teams can operate, measure and improve.
- Accountable ownership and stewardship
- Shared business definitions
- Measurable data quality
- Transparent lineage and impact analysis
- Scalable governance technology
Governance capabilities built
around your priorities.
From strategy through managed governance, Digitium combines operating-model
design with hands-on implementation.
Governance Strategy
Assess current maturity, define the target model and create a sequenced roadmap linked to business priorities.
Operating Model
Establish governance councils, data domains, decision rights, ownership, stewardship and practical RACI models.
Metadata and Catalog
Create business glossaries, data dictionaries, catalog structures, certification rules and searchable metadata.
Data Quality
Identify critical data elements, define rules and thresholds, manage issues and publish quality scorecards.
Classification and Privacy
Define classification taxonomies, map sensitive data, document handling requirements and support policy implementation.
Lineage and Impact Analysis
Document how data moves and transforms from source to report, supporting change assessment and control evidence.
Purview and Collibra
Implement, configure and improve governance capabilities using Microsoft Purview, Collibra and other governance tools.
Managed Governance
Provide ongoing administration, metadata onboarding, workflow support, quality monitoring and governance reporting.
Make trusted data easier to find,
understand and use.
Clear accountability
Clear accountability for important data and decisions.
Consistent definitions
Consistent business definitions across teams and systems.
Faster discovery
Faster discovery of approved and trusted data assets.
Quality & lineage visibility
Improved visibility into data quality, lineage and change impact.
Better protection
Better control of sensitive, personal and regulated information.
AI-ready foundations
Governed data foundations for analytics, cloud modernization and AI.
A practical framework that scales.
Eight connected capabilities tailored to your organization, regulatory obligations and highest-value or highest-risk data domains.
Strategy and Business Alignment
Governance Operating Model
Policies, Standards and Controls
Create or rationalize policies and procedures for ownership, metadata, quality, classification, access, retention, issue management and change control.
Metadata, Business Glossary and Catalog
Document business terms, data definitions, technical metadata, ownership and usage context. Create a catalog structure that helps people find data and identify approved sources.
Critical Data and Data Quality
Identify critical data elements and define measurable rules for completeness, accuracy, validity, consistency, timeliness and uniqueness. Track issues, remediation and trends.
Classification, Privacy and Protection
Define classification and handling requirements for public, internal, confidential and restricted data, aligning them with access, retention, sharing and protection controls.
Lineage, Lifecycle and Change Impact
Map data from source through transformation to reports, products and downstream use. Use lineage for quality investigation, change impact, audits and control evidence.
Measurement, Adoption and Continuous Improvement
Define metrics for ownership coverage, glossary approval, catalog adoption, quality performance, issue resolution, classification coverage and policy compliance.
Start focused. Prove value.
Scale with confidence.
01 · ASSESS
Understand the current state
02 · PRIORITIZE
Focus on high-value outcomes
03 · DESIGN
Create the operating model
Design governance, standards, workflows, roles and measures.
04 · PILOT
Validate with real users
05 · SCALE
Reuse what works
06 · IMPROVE
Measure and optimize
Use metrics, issue trends, feedback and control reviews to improve continuously.
Practical outputs your teams can use.
- Data governance maturity assessment and target-state roadmap
- Domain model, governance councils, role descriptions and RACI
- Critical data element inventory and prioritization criteria
- Classification taxonomy and handling requirements
- Governance metrics, reporting pack and adoption plan
- Governance charter, policies, standards and procedure templates
- Business glossary, data dictionary and metadata templates
- Data quality rules, thresholds, scorecards and issue workflow
- Business and technical lineage documentation