Data Governance: Governing data for sustainable business
Data Governance: Governing data for sustainable business
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This book provides a practical guide to developing strategy and policy for data governance, in line with the developing ISO 38505 governance of data standards and best practice frameworks, to assist organizations in becoming more data-driven.
Format: Paperback / softback
Length: 150 pages
Publication date: 02 April 2021
Publisher: BCS Learning & Development Limited
The world of business is constantly evolving, and with it comes the ever-growing importance of data. Every week, we hear about organizations that have either distributed data that should have been kept confidential or lost out to competitors who are using data to drive their businesses forward in innovative ways. Data is not only transforming the way businesses operate but also the mechanisms for delivering products and services. This book is a comprehensive guide to developing strategy and policy for data governance, in line with the emerging ISO 38505 governance of data standards and best practice frameworks. It will assist organizations in becoming more data-driven by providing them with the tools they need to assess the value, risks, and constraints associated with collecting, using, and distributing data.
The first chapter of the book explores the concept of data governance and its significance in today's business world. It defines data governance as the management of data assets throughout their lifecycle, from creation to deletion. It also highlights the importance of data governance in ensuring data quality, security, and privacy.
The second chapter delves into the challenges that organizations face in managing their data. It discusses the need for a centralized approach to data management, as well as the importance of establishing clear roles and responsibilities for data owners and users. It also explores the role of technology in data governance, such as data management systems and data analytics tools.
The third chapter provides an overview of the ISO 38505 governance of data standards and best practice frameworks. It explains the framework's structure and the principles that guide its implementation. It also provides examples of how organizations can use the framework to develop their data governance strategies and policies.
The fourth chapter focuses on the assessment of data value, risks, and constraints. It discusses the importance of understanding the value of data to an organization, as well as the risks and constraints associated with collecting, using, and distributing data. It provides tools and techniques for assessing data value, risks, and constraints, such as data valuation models and risk assessment frameworks.
The fifth chapter explores the role of data governance in enabling organizations to become more data-driven. It discusses the importance of data-driven decision-making, as well as the benefits of using data to identify new opportunities and improve business processes. It provides examples of how organizations can use data to drive innovation, such as using data analytics to optimize customer experiences or using data to develop new products and services.
The sixth chapter discusses the importance of data ethics and privacy. It highlights the need for organizations to respect the privacy and rights of individuals who provide their data, as well as the ethical considerations associated with using data. It provides guidelines.
The seventh chapter provides an overview of the legal and regulatory framework for data governance. It discusses the legal and regulatory requirements for organizations to manage their data, as well as the penalties for non-compliance. It also provides examples of how organizations can comply
This book is a valuable resource for organizations looking to develop effective data governance strategies and policies. It provides a comprehensive and practical guide
The first chapter of the book explores the concept of data governance and its significance in today's business world. It defines data governance as the management of data assets throughout their lifecycle
The second chapter delves into the challenges that organizations face the face in managing their data. It discusses the need for a centralized approach to data management, as well as the importance of establishing clear roles and responsibilities for data owners and users. It also explores the role clear roles.
The third chapter provides an overview of the ISO 38505 governance of data standards and best practice frameworks. It explains the framework's structure and the principles that guide the implementation. It also provides examples of how organizations can use the framework to develop their data governance strategies and policies.
The fourth chapter focuses on the assessment of data value, risks, and constraints. It discusses the importance of understanding the value of data to an organization, as well as the risks and constraints associated with collecting, using, and distributing data. It provides tools and techniques for assessing data value, risks, and constraints, such as data valuation models and risk assessment frameworks.
The fifth chapter explores the role of data governance in enabling organizations to become more data-driven. It discusses the importance of data-driven decision-making, as well as the benefits of using data to identify new opportunities and improve business processes. It provides examples of how organizations can use data to drive innovation, such as using data analytics to optimize customer experiences or using data to develop new products and services.
The sixth chapter discusses the importance of data ethics and privacy. It highlights the need for organizations to respect the privacy and rights of individuals who provide their data, as well as the ethical considerations associated with using data. It provides examples of how organizations can
The seventh chapter provides an overview of the legal and regulatory framework for data governance. It discusses the legal and regulatory requirements for organizations to manage their data, as well as the penalties for non-compliance. It also provides examples of how organizations can
Dimension: 244 x 170 (mm)
ISBN-13: 9781780173757
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