Information is at the heart of all organizations, like blood flowing through its arteries and veins. However, all too often Information is not professionally managed with the rigour and discipline that it demands. Nonetheless the implications of poorly managed information can be catastrophic, from legal and other regulatory sanctions ultimately to business collapse.
Professor Joe Peppard summed it up when he said:
“the very existence of an organisation can be threatened by poor data”
But how can we manage our data? What is Data Governance and what are its implications.
Is it all a massive “big bang” exercise or can we build data governance incrementally?
This 3-day training course will provide the rationale why Information Management is critical, and provide methods and practices for addressing key Information Management challenges.
This 3-day course will provide a foundation to the topic of Data Governance by describing the drivers for Data Governance, its purpose, outcome, typical organization structures, roles, responsibilities, and activities for Data Governance. The, typical organisation structures, roles responsibilities and activities involved in establishing successful Data Governance together with example metrics for measuring progress of a Data Governance initiative will be discussed, and how it varies dependent on the Centralised vs Federation management style of the Enterprise. Execution approaches will be covered particularly whether Data Governance can be implemented in bite sized chunks or if it must be done in a top-down “big bang”.
The vital relationship between Data Governance & other core Information disciplines will be highlighted, including Data Quality, Master Data Management and Data Modelling.
This 3-day course addresses all core Data Governance considerations and introduces the other associated Information Management disciplines as defined in the DAMA body of knowledge (DMBoK). Taught by an industry recognized DAMA DMBoK(2.0) author, CDMP(Fellow) and recipient of the DAMA Lifetime Achievement Award, this course provides a solid foundation for anyone interested in Data Governance.
This training course will provide the rationale why Information Management is critical, and provide methods and practices for addressing key Data Governance challenges and equip organisations to address the challenges that increased regulatory scrutiny brings.
This training also includes the ICCP Certified Data Governance Professional
To give participants a firm grounding in the core
Data Governance concepts and illustrate their practical application throughout with real examples of how Data Governance can be applied for different organisation styles ranging from fully centralised to federated. Additionally, this course provides a solid foundation in the Data Governance topic for students wishing to consider proceeding to take the an industry professional such as ICCP CDP or DAMA CDMP.
Who Should Attend?
- ICCP Certified Data Governance Professional
- Data Governance & Stewardship Professional (DGSP)
This 3-day course is intended for personnel involved in Data Governance, Master Data Management and/or Data Quality, initiatives including: Information Managers, Information Quality Practitioners, Executives, Technology Leaders, Business Technology Partners, Business Analysts, Enterprise Architects, Information Architects, and Data Architects.
A passion to see information managed as a corporate asset.
Level set understanding & terminology:
- Learn about the need for and application of Data Governance for different categories of challenges
- Explore a Data Governance framework and understand how it aligns with other architecture frameworks
- Understand the core concept of Information lifecycle management, the different stages and why they are important
Introduction to Data Governance:
- Learn the different motivations for Data Governance and how best to implement Data Governance organisational approaches
- Learn the best practices for managing Enterprise Information needs
- Learn how to create Data Governance structures to address differing styles of organisational management.
What is the difference between Data Governance and IT Governance and does it matter?
- What is Data Governance and why it matters.
- What is the difference between Data Governance and IT Governance and does it matter?
The Data Governance implications of selected regulatory acts
- The critical reasons why Master Data Management initiatives must have Data Governance in place
- How Data Governance is supported by Data Modelling
- Why Data Quality management and Data Governance are interdependent
A pragmatic workable framework for Data Governance
- EU GDPR, what are the major data governance consequences
- What steps can you take to conform with GDPR
- BASEL BCBS 239 Principles for effective risk data aggregation and risk reporting, and why is this different from rules based regulations and where does Data Governance help?
- Overview of the Data Management implications of a selection of other regulations
- The key steps that organisations can take to prepare for compliance with current and future regulations.
Is Data Governance being too theoretical.
- How to produce a pragmatic business case for DG linked to business objectives and the issues faced when Data Governance is not present.
- How Data Regulations and Acts can be incorporated into Business cases
- Developing the business case & the kick off foundation activities.
- The core essential components of a Data Governance framework
- Starting the Data Governance Program, what you must get in place early
- The different Data Governance approaches from Process centric, to Data centric and more
Data Governance Organisation, Roles and Responsibilities
- What am I really going to see from a DG initiative.
- Are there some quick realistic aspects a DG program should focus on first?
Keeping a Data Governance initiative going:
- Organisational models and Target Operating models for Data Governance
- Catering for different organisation styles and sizes
- Understanding organisation culture
- The different Data Governance operating models from Centralised, Hybrid, Federated, Self-Organising teams, and Stealth
- The typical roles, responsibilities, organization structures and principles for successful Data Governance
- The Roles, Responsibilities’ and Activities in Data Governance
- Responsibilities & Activities of the Data Owner
- Responsibilities & Activities of the Steward
- Responsibilities & Activities of the Data Custodian & System Owner
- Stakeholders and the other roles that are typically present.
- Building DG in bite sized pieces;
- Can we introduce DG covertly?
Examination of the categories of tools supporting Data Governance.
- Now it’s started; how do you sustain Data Governance.
- Baking Data Governance into Business as Usual activities and making it real
- Capturing & reporting upon Data Governance metrics & their relationship with Data Quality metrics
- The role of the Data Governance office (DGO)
- Why the DGO is critical for sustaining success,
- The relationship between the DGO and the Project Management Office (PMO).