15:00 CET

  • 7 hours
  • €700

1-day online workshop

with Dr. Irina Steenbeek

Organized by Data Crossroads



This workshop is designed for a data management executive, manager, or advanced professional who aims to:

  • Enhance the maturity level of data management within an organization
  • Show the business value that effective data management contributes
  • Improve the efficiency of data management practices
  • Secure support from top management and participation of business stakeholders in data-related initiatives
  • Achieve professional objectives more effortlessly and in less time

Your takeaways:

By the end of this workshop, you will have acquired practical insights and skills that you can immediately apply to your role in data management. Here’s what you’ll learn:

Defining the Scope: Understand how to design a data governance framework tailored to your organization’s goals and resources. This framework’s design considers various factors, including different types of data architectures.

Performing Maturity Assessment: Evaluate the current and desired states of your core data management capabilities to identify areas for improvement.

Designing Data Management Capabilities: Develop the governance structure for core data management capabilities, including data governance, data modeling and architecture, data quality, and metadata management. The governance structure for each capability includes:

    • Core deliverables
    • Policies and standards
    • Processes
    • Roles and corresponding responsibilities
    • Requirements for IT tools

Outlining an Integrated Implementation Approach and Roadmap: Learn strategies for effectively implementing the chosen capabilities. Create a long-term plan and implementation roadmap to guide your data management journey.

Designing Performance Management: Establish methods for assessing performance at multiple organizational levels to ensure ongoing improvement and alignment with strategic objectives.

This workshop is for you if you would like to:

  • Strengthen your professional reputation and influence
  • Open career opportunities
  • Get personal satisfaction and build a legacy

but you:

  • Never did it before
  • Want to rely on the best industry practice
  • Want to have a sparring partner to discuss different options

You may find a lot of information and training about data governance or various data management frameworks like DAMA-DMBOK2 and DCAM. This workshop is based on the O.R.A.N.G.E. data management framework.

This workshop is tailored to provide you with the skills and tools needed to effectively manage and govern data across various architectures and initiatives, leveraging the unique aspects of the O.R.A.N.G.E. framework:

Multipurpose and practice-based

This framework is practice-based and can be applied to build a governance framework for different types of data-related initiatives, such as improving data quality, implementing metadata management, including data catalogs, data lineage, and knowledge graphs, launching advanced data analytics and AI-driven technologies, etc.

Comprehensive Coverage of Core DM Capabilities and an Integrated Approach to their Implementation

It covers the core data management capabilities needed for every type of data-related initiative: data governance, data quality, business architecture, data architecture, data lifecycle management, and metadata management required for implementing the data fabric concept. It provides guidance on an integrated approach to implementing core data management (DM) capabilities.

Adaptable to Different Data Architectures

It is developed for different types of data integration architectures: centralized (data warehouse, data lake, data lakehouse) and decentralized (business domain and data mesh architecture)

Practical tools and resources

This framework is a complete suite of ready-to-use templates and plans that can be immediately applied to your data management projects.

Interactive Learning Experience

The workshop includes demonstrations of the latest functionalities from leading (meta)data management solution providers, enhancing both theoretical and practical understanding.

  1. Introduction to the fundamental concepts
  • Data management vs. data governance
  • Analysis of existing data management (maturity) frameworks
  • The definition of a data management capability at various organizational levels
  • The concept of enterprise architecture and data lifecycle
  • The O.R.A.N.G.E. data maangement framework
  1. Scoping data-related initiatives
  • Defining business drivers and use cases
  • Identifying key stakeholders and developing communication strategies
  • Defining the factors that influence the scope:
    • Data and metadata types
    • An organization’s profile
    • Target data architecture
    • Current data management (DM) maturity level
    • The chosen DM framework
  • Outlining the long-term goals and plans
  • Establishing a program
  1. Designing core data management (DM) capabilities
  • Data governance and Stewardship
    • DM operating model
    • DM bodies
    • Approach to designing DM roles
    • DG policy and standards
    • DG processes and roles with RACI for different data architectures
    • Requirements for DG solution functionalities
  • Business architecture (BA)
    • Key deliverables, including business domains
    • Approach to designing processes, policies, and defining roles
    • Requirements for BA solution functionalities
  • Data modeling and architecture (DM&A)
    • Differences in deliverables for different data architecture types (i.e., business glossary, data models, data products, and data contracts)
    • Approach to designing processes, policies, and defining roles
    • Requirements for DM&A solution functionalities
  • Data and metadata lifecycle management
    • Differences in deliverables for different data architecture types (i.e., data lineage, organization of data lifecycle)
    • Approach to designing processes, policies, and defining roles
    • Requirements for IT solution functionalities
  1. Introducing the integrated implementation approach
  2. Approach to designing a system of KPIs to measure DM performance at various organizational levels
  • Live online
  • Short lectures supported by presentation materials
  • Exercises and discussions
  • 1-hour follow-up personal consultation after the workshop
  • A business case for a made-up company or your business case

All participants of this workshop will get these additional FREE BONUSES:

  • Ready-to-use templates
  • 1-hour private coaching session with Dr. Irina Steenbeek (worth 300)
  • Access to the Data Crossroads Maturity Assessment tool (worth €1000)
Irina steenbeek

About the speaker

Dr. Irina Steenbeek is the founder and managing director of Data Crossroads. She is a data management practitioner with more than 11 years of experience. The key areas of her professional expertise are the data management maturity assessment, implementation of data management frameworks, and data lineage. Irina has practical experience in software implementation such as ERP and DWH/BI, management consultation, financial and business controls, and data science.

Throughout the years, she has worked for global institutions as well as large- and medium-sized organizations in different sectors, including but not limited to financial institutions, professional services, and IT companies.


  • 14 March 2024 – Workshop “Establishing a Data Governance Framework for Various Data Architectures” DG and MDM Conference Europe, London, IRM UK

  • 13 March 2024 – Workshop “Establishing a Business Case of Metadata Management”DG and MDM Conference Europe, London, IRM UK

  • 29 February 2024 – Paid Workshop “Meta Growth: Integrating Data and Metadata StrategiesOrganized by Data Crossroads

  • 15 February 2024 – Free Masterclass “Leveraging Metadata for Business GrowthOrganized by Data Crossroads

  • 26 October 2023 – Live Q&A “Data Lineage and Data Quality”Organized by Data Crossroads

  • 14 September 2023 – Online Webinar “Data Governance in the context of various data architectures” – Organized by Data Crossroads

  • 8 June 2023 – Online Masterclass “Data Strategy – Design and Implementation”Organized by Data Crossroads

  • 23 March 2023 – Webinar “Choosing Knowledge Graphs and Data Lineage Solutions”Organized by Trigyan
  • 23 February 2023 – Webinar “Does Your Company Need a Data Management or Data Governance Initiative?Organized by Data Crossroads