Practical Data Governance, Stewardship & Compliance

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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 (European School of Management, Cranfield) summed it up when he said:
“the very existence of an organisation can be threatened by poor data”.

Not only is Management, Stewardship and Governance of the Data Asset critically important for improved business efficiency, flexibility and competitive advantage, but now in the era of increasing Information based Regulatory and Compliance rules it is essential. Every day we read about Data security and risk concerns, and these together with current and emerging regulations such as the Data Protection Act, BCBS239 and the General Data Protection Regulation (GDPR) mean that managing your Data Asset and effective Governance is no longer optional.

How can we manage our data and prepare for these regulations? What does Data Governance really mean, how practically do we make it work, and what are its implications? Does implementing Data Governance require a massive “big bang” exercise or is it possible to build data governance processes incrementally?

This training course will provide the rationale why Information Management is critical and provide practical methods and practices for addressing key Data Asset Management and Data Governance challenges and equip organisations to address the challenges that increased regulatory scrutiny brings. It will also equip students to sit the DAMA Certified Data Governance Professional specialist examination which also contributes to attainment of a full CDMP at Practitioner or Master level.

This 2-day course will provide a solid foundation in the topic of Data Stewardship & Governance by describing its purpose, outcome, the typical organization structures required and the key business drivers for Data Governance. It will highlight the Data Stewardship and Governance implications of various regulatory acts with a focus on GDPR and illustrate how organisations can prepare for compliance.
Additionally, the practical roles responsibilities and activities involved in establishing successful Data Governance together with example Data Governance metrics for measuring progress of a Data Governance initiative will be highlighted. Importantly it will show how Data Asset management and Governance can be implemented in bite sized chunks vs being introduced in a top-down “big bang” manner.

The vital relationship between Data Governance and other core disciplines of Master Data Management, Data Modelling, Metadata Management & Data Quality management will be highlighted.
This course addresses all the core Data Asset management and Governance considerations and introduces the other associated Information Management disciplines. 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.

Course Objectives

To give participants a firm grounding in the core Data Stewardship and Governance concepts and illustrate their practical application throughout with real examples of how Data Stewardship and Governance can be applied for different organisation styles ranging from fully centralised to federated. Additionally, this course also prepares students wishing to take the specialist Data Governance examination as part of the Industry professional DAMA CDMP certification. Students will have the opportunity to take the CDMP Data Governance specialist exam at the end of this course to attain DAMA Certified Data Governance Professional designation and a credit towards attainment of a full CDMP at Practitioner or Master level.

Who Should Attend?

This course is intended for personnel involved in Data Stewardship and Governance, Master Data Management and/or Data Quality, initiatives including:

• Data Owners
• Data Stewards
• Information Managers
• Information Quality Practitioners
• Executives
• Technology Leaders
• Business Technology Partners
• Business Analysts
• Enterprise Architects
• Information Architects, and
• Data Architects.

Prerequisites

A passion to see information managed as a corporate asset.

Learning Goals

Level set understanding & terminology:

• Learn about the need for and application of Data Asset management and Governance for different categories of challenges
• Understand the Data Asset management and Governance implications of a variety of regulatory acts and how to prepare your organisation for compliance
• Understand the Data Governance implications of GDPR and the key steps to ensure compliance – whilst improving organisational Data Management
• Explore a Business focused 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
• Understand the critical role that Data Governance plays in the Information disciplines of Master Data Management and Data Quality management
• Understand the role and the activities required of a Chief Data Officer (CDO)
• Understand the detailed Data Governance roles together with the activities required for them – including Data Owner, Data Steward and Data Custodian.

Pragmatic Learning

• Learn the different motivations for Data Stewardship and Governance and how best to implement DG approaches
• Develop a set of usable techniques that can be applied to a range of information management challenges
• Learn the best practices for managing Enterprise Information needs
• Understand the different operating models for Data Governance & determine which is the best fit for your organisation
• Learn how to create Data Governance organisation and committee structures to address differing styles of organisational management.