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 organization 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 Centralized 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 organizations to address the challenges that increased regulatory scrutiny brings.
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 organization styles ranging from fully centralized 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 DAMA CDMP.
Who Should Attend?
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:
Introduction to Data Governance:
What is the difference between Data Governance and IT Governance and does it matter?
The Data Governance implications of selected regulatory acts
A pragmatic workable framework for Data Governance
Is Data Governance being too theoretical.
Data Governance Organisation, Roles and Responsibilities
Keeping a Data Governance initiative going:
Examination of the categories of tools supporting Data Governance.