Data Governance

Why It
Matters

The
challenge

When No One Takes Ownership, Data Problems Remain Unresolved

In many organizations, data is distributed across numerous systems, departments, and platforms. Inconsistent definitions, unclear responsibilities, and processes that have evolved over time make it difficult to use data consistently across the business.

Typical consequences include:

• conflicting metrics and reports,
• unclear ownership of data,
• time-consuming coordination between business teams and IT,
• limited transparency regarding the origin and use of data,
• data quality issues that are identified too late,
• increased exposure to regulatory risks,
• unsuitable data foundations for AI and analytics initiatives.

Data governance provides the binding framework required to resolve these issues systematically and sustainably.

What it
covers

A Framework for the Responsible Use of Data

Data Governance improves organizational effectiveness by aligning processes, responsibilities, and technology. It provides the foundation for managing, protecting, documenting, and using data consistently.

Roles and Responsibilities

Together with you, we define transparent accountability for data and establish an effective operating model across data owners, data stewards, business teams, IT, and governance functions.

Policies and Standards

We develop binding rules for data quality, access, documentation, classification, storage, and use.

Metadata and Transparency

We create transparency around the meaning, origin, processing, and use of data – for example through business glossaries, data catalogs, and data lineage.

Data Quality and Controls

We establish quality requirements, metrics, escalation paths, and controls so that issues can be identified early and resolved in a targeted manner.

Learn more about our approach to Data Quality.

Access and Usage Policies

We help define secure and traceable access to data, aligned with user roles, protection requirements, and regulatory obligations.

Governance for Analytics and AI

We create the conditions required to use data and AI applications in a controlled, transparent, and responsible way.

AI
governance

Data Governance as the Foundation for Trustworthy AI

AI applications place greater demands on data quality, transparency, and accountability. Organizations need to understand which data is being used, where it originates, what restrictions apply, and who is responsible for its use.

We extend existing governance structures to address the requirements of data- and AI-driven applications. This includes:

• clear accountability for data and models,
• documented data sources and processing steps,
• policies for sensitive or protected data,
• quality and approval criteria,
• traceability and monitoring,
• the involvement of security, data protection, and compliance functions.

This turns data governance into a robust foundation for AI in production — rather than merely a prerequisite for isolated pilot projects.

Our
approach

Data Governance That Works in Practice

Data governance cannot simply be imposed on an organization as a standardized model. It must reflect the company’s structure, existing data landscape, and actual decision-making processes. By tracking progress through clear metrics, we create the foundation for a culture of continuous improvement.

Phase 1: Understand the Current Situation and Objectives

We assess existing roles, processes, systems, and governance structures. Together, we identify the most important areas for action and define clear objectives.

Potential outcomes include:

• stakeholder and organizational analysis,
• assessment of existing governance structures,
• analysis of critical data domains,
• identification of regulatory and business requirements,
• prioritized challenges and use cases.

Phase 2: Develop the Governance Model

We design a governance model that fits the organization and establishes clear accountability.

Potential outcomes include:

• governance principles,
• a roles and responsibilities model,
• a RACI matrix,
• decision-making and escalation paths,
• a data ownership and stewardship model,
• policies and standards.

Phase 3: Embed Processes and Tools

Governance is integrated into operational processes and technical platforms.

Potential outcomes include:

• data quality processes,
• a metadata and data catalog concept,
• approval and control processes,
• data classification,
• workflow and tooling requirements,
• governance metrics.

Phase 4: Implement and Scale Incrementally

We begin with prioritized data domains or specific use cases and expand the model step by step.

Potential outcomes include:

• pilots in selected domains,
• training and enablement,
• a governance roadmap,
• measurement of progress and effectiveness.

Maturity
Model

How Mature Is Your Data Governance Today?

A data governance maturity model creates transparency around the current situation and reveals which next steps will deliver the highest business value through a sequence of measurable milestones.

Our assessment may cover:

• strategy and target operating model,
• roles and responsibilities,
• policies and standards,
• data quality,
• metadata and data lineage,
• architecture and tools,
• security and compliance,
• organizational adoption,
• measurement and continuous improvement.

Based on these findings, we develop a realistic roadmap aligned with your business priorities, available resources, and actual need for action.

Our
Offering

Governance That Provides Direction – and Enables Delivery

Data governance succeeds when accountability is not merely documented but actively practiced. We combine strategic consulting, data architecture, and delivery expertise to develop governance structures that integrate seamlessly into existing processes and systems.

Whether you need greater transparency around your current maturity level, want to advance an existing governance model, or are planning an enterprise-wide initiative, we support you from initial concept through to sustainable adoption.

Let’s discuss your data governance initiative:
experts@striped-giraffe.com