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DM200: Data Governance & Data Asset Management in Practice

Training: Digital Transformation

The course offers a practice-oriented deep dive for all who must implement and operate data governance. From the basic framework arises an implementable operating model. Participants develop a role model with clear responsibility logic (RACI), define policies, standards and decision records, design catalog and metadata processes and link these with lineage/impact analyses, data quality organization and a pragmatic issue management.

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Appointments in German language (1)

					Action
Hybrid event	2026-10-19 \| 10:00 am	2026-10-20 \| 05:00 pm	Nuremberg

Possible course languages: German

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Hybrid event

Start: 2026-10-19 | 10:00 am

End: 2026-10-20 | 05:00 pm

Location: Nuremberg

Price: 1.550,00 € plus VAT.

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Agenda:

Refresh DM100 Data Management & Data Governance Fundamentals
- Governance Fundamentals
- Target Architecture & Guardrails
Data Asset Management
- Asset Definition
- Classification
- Criticality

Role Model & Organization
- Data Owner/Steward/Domain Lead
- RACI
- Delegation Logic
Policies & Standards in Practice
- Structure
- Approval
- Exceptions
- Evidence Management
Metadata Operations
- Glossary/Catalog Processes
- Data Asset Onboarding
- Metadata Maintenance & Quality

Lineage & Impact
- purpose, granularity level, pragmatic implementation approach

Data Quality as Organization
- DQ Rules
- DQ KPIs
- Data Issue Management (Triage, Ownership, SLAs)
Operating Models
- centralized, federated, hub and spoke
- Data Mesh compatible governance
Adoption & Change
- Communication and Enablement Plan
- Governance Backlog
- Quick Wins

Objectives:

Design and justify a practical role and accountability model
Formulate policies/standards so that they are implementable, auditable, and integrable
Define catalog/glossary operating processes (onboarding, maintenance, approvals, quality criteria)
Define a lineage/impact approach (scope, granularity, value, initial MVP)
Set up a data quality organization: rules, KPI set, issue workflow, ownership/SLAs
Design a governance operating model including bodies, decision paths, and escalation
Create a concrete implementation roadmap (pilot, scaling, metrics, change measures)
Structured preparation for CDMP/governance certifications

Target audience:

The training DM200 Data Governance & Data Asset Management in Practice is targeted at:

Data Asset Manager
Data Manager
Data Steward

Prerequisites:

To be able to follow the course content and learning pace in the training DM200 Data Governance & Data Asset Management in Practice effectively, we recommend prior attendance of the course:

DM100 Fundamentals Data Management & Data Governance or equivalent foundational knowledge
Practically helpful: Knowledge of own data domains, stakeholders and typical problem cases

Description:

The DM200 Data Governance & Data Asset Management in Practice course is the practice-oriented deep dive for everyone who must not only “understand” governance, but implement and operate it. Building on the workshop DM100 Fundamentals of Data Management & Data Governance, the foundational framework is turned into an implementable operating model: participants develop a role model with clear accountability logic (including RACI thinking), define governance artifacts (policies, standards, decision records), design catalog and metadata processes (onboarding, maintenance, approvals), and connect these with lineage/impact analyses, data quality organization, and pragmatic issue management.

A central element is translation into day-to-day work: How is stewardship embedded organizationally? Which body makes which decisions? How are conflicts resolved? How do you prioritize data assets (e.g., critical data elements), and how do you establish a “definition of done” for data (e.g., catalog entry, quality rules, access control, accountable owners, lineage evidence)? The workshop provides concrete blueprints and templates that teams can use directly as a starting point (policy templates, stewardship backlog, operating model canvas, DQ KPI set, catalog onboarding checklist).