Data Governance: Perspectives and Practices
Data Governance: Perspectives and Practices, by Harkish Sen
What is data governance? And what are the principles and techniques you can leverage as a business or IT professional to make data governance successful within your organization?
Topics
Introduction
Control and responsibility
Data fitness
CHAPTER 1: Understanding Data Governance
Is data governance just policy-making for data?
Is data governance just data management?
Communication is critical
Data and accountability
CHAPTER 2: Owning Data Governance
Technology and humans in society
Law and data governance
Personal identifiable information and data governance
More data, more knowledge…more power?
Data governance roles
Data administrator
Data protection officer
Data steward
Data architect
Data procurement officer
Data policy officer
CHAPTER 3: Data Governance Purpose
What are the components within policy making?
What do we mean by a data governance function?
Setting the scene
Moving from siloed behaviors to data for the organization
Clearly articulating the benefits
Data confidence
Data ethics
CHAPTER 4: Getting Data Fit
Data governance using the 5-step method
Step 1) a clear aspiration or high-level goal
Step 2) developing principles from a clear strategy
Step 3) testing the strategy
Step 4) build out an operational plan for delivery
Step 5) prototype different models and test thoroughly
CHAPTER 5: Data Governance Stakeholders
Data policy
Data analysis
Data quality and maintenance
Data technical management
Data privacy and security
Data Governance Scorecard
Approaches, practices, and methodologies
Agile vs. Waterfall
Conducting thought showers in a bunker
Getting your core assumptions in order
Data governance business drivers
Stakeholders understanding the importance of data
Blockers as stakeholders
Data governance questions
About metadata
About blockchain
CHAPTER 6: D474: A Case Study
Data Governance will answer these questions and provide you with insights and approaches to improve the “data fitness” of your organization. Gain control of your data and assign responsible parties to ensure the data remains well-understood and protected, by applying the content within this book’s six chapters:
- Chapter 1, Understanding Data Governance, looks at the broad definitions of data governance along with issues within data governance.
- Chapter 2, Owning Data Governance, looks at Ownership, Wider Perspectives, and Roles, and explores how transparent data governance can simplify the complexities of data ownership.
- Chapter 3, Data Confidence, explores using tools (e.g., standards, strategies, and policies) to clearly align business objectives with realistic IT deliverables and produce meaningful outcomes.
- Chapter 4, Getting Data Fit, covers the basic elements required to make data governance work for your specific organization. There are five steps required to achieve a basic level of data fitness and effective governance.
- Chapter 5, Approach and Stakeholders, covers various ways to implement data governance to ensure there are clear milestones and trigger points for key stakeholders to approve each phase. A data scorecard is introduced as a tool to help guide an organization through the data governance process.
- Chapter 6, A Case Study, concerns a fictitious company, D474, used to illustrate the various examples and scenarios for implementing data governance.
About Harkish
Harkish Sen has over 15 years’ information technology experience within the government and private sector. Working across data, solutions architecture, and digital transformation has helped him develop the expertise to bring the best of business and technical approaches together to deliver key outcomes, in a simple and effective way. Harkish Sen lives in London, United Kingdom.
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