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Applied Data Governance

Training for professionals who want to turn DAMA-DMBOK theory into real solutions in their organizations

In today’s world, data is a strategic asset, but without systematic management, it quickly loses its value. The “Practical Data Governance” training is designed for those who seek not only to understand the principles of DAMA-DMBOK®, but also to learn how to implement them in their daily work using leading tools and technologies. The program combines concepts, cases, demonstrations, and practical tasks so that participants can build an effective data management system tailored to the needs of their business.

Format

  • Live online

  • 12 hours of sessions

  • 6 modules: lecture, Q&A, interactive, practical tasks

For whom

  • Department heads and project managers

  • Data engineers, analysts, data architects, BI engineers

  • Business analysts, product managers, data stewards

  • IT auditors

Result

After the training, participants will receive ready-made templates, tools, and approaches to launch or improve Data Governance initiatives. They will learn to apply DAMA-DMBOK® standards in a modern technology environment and understand how to deliver real business value from data governance.

Advantages

  • Learning that is based on the experience of successfully passing the exam

  • The specifics of the state of data management in Ukraine are taken into account

  • Training with representatives of DAMA Ukraine Kyiv and DAMA International®

Training program

Модуль 1

Business-oriented data management
Topics

  • The value of data as a business asset.

  • DAMA-DMBOK Fundamentals: Principles, Domains, Roles, and Processes.

  • Building a Data Governance operating model (centralized, federated, hub-and-spoke).

  • Examples from the banking, financial and manufacturing sectors.

Модуль 2

Policies, roles and processes
 
Topics
How to create and implement policies, standards, and regulations.

  • Roles: Data Owner, Data Steward, Data Custodian, Governance Council.

  • Data catalog and business terminology management.

  • Examples of documents and templates from real projects.

  • Features of implementing roles in organizations

  • Discussion of practical cases

 

Модуль 3

Mastering Data Governance tools
 
Topics

  • Overview of modern platforms: Microsoft Purview, Google Dataplex, AWS DataZone, Collibra, DataHub.

  • Demonstration of setting up data catalog, metadata ingestion, classifications, lineage.

  • Integration with GCP, Azure, Snowflake, and BigQuery.

  • Practical exercises in building a data catalog and business directory

  • Discussion of practical cases

Модуль 4

Data quality management
 
Topics

  • Types of quality rules: accuracy, completeness, uniqueness, consistency, timeliness.

  • How to identify Critical Data Elements.

  • Examples of implementing data quality checks

  • Building reports with Data Quality Scorecards.

  • Using data lineage to identify and fix poor data

  • Discussion of practical cases

 

Модуль 5

Metadata, data lineage, data classification and protection
Topics

  • How to manage technical, business, and operational metadata.

  • Sensitivity, privacy, and criticality classifications and classification configuration in the data catalog

  • Automatic data classification

  • Using data lineage for impact analysis

  • Discussion of practical cases

Module 6

Data management in action
Topics

  • How to build a DG implementation roadmap.

  • KPI, process maturity measurement, quick-wins, value measurement.

  • Using DAMA-DMBOK® as a practical framework.

  • Creating a short MVP plan for your organization.

Register

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