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Data Governance
Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, Second Edition, is for any executive or manager who needs to implement an organizational data governance program to ensure consistent and reliable reporting. The book offers insights on how to execute a program and keep the program sustainable. This comprehensive guidance is ideal for beginning professionals, managers and analysts looking to improve their processes, but it is also valuable for advanced students in Data Management and related courses. With the provided framework and case studies, beginning professionals, managers or analysts looking to improve their processes will find this content valuable. Provides comprehensive guidance to beginning professionals, executives, managers or analysts looking to improve their processes Presents a complete overview of data governance creation and operation Includes new case studies which detail real-world situations across industry types Explores all of the capabilities businesses must adopt to become data driven Offers readers insights into how their organizations can improve the value of their data through data quality, data strategy and data literacy
Data Governance
Data Governance, Third Edition, is for any student, executive, manager, or data professional who needs to understand and implement a data governance program, to ensure consistent, accurate and reliable data across their organization. The problem of managing data continues to grow with issues surrounding the cost of storage, exponential growth, as well as administrative, management, and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. John Ladley guides readers though the detailed process of developing a Data Governance program, including an introduction to the concepts and principles of Data Governance, Data literacy concepts, business case, strategy, systems architecture and design, the importance of team engagement, implementation, and change management. The Third Edition includes all-new coverage embracing new data capabilities such as ethics and AI integration, as well as key regulatory changes. Data governance is now inevitable, and no longer an option. John Ladley examines the impact of society on data and the relevance for organizations to simply "do better." The Third Edition updates coverage on data governance tools to achieve delivery of necessary capabilities. This valuable resource provides foundational understanding to advanced students in Data Management and related courses, as well as comprehensive guidance for beginning professionals, managers or analysts looking to improve their processes. With the provided framework and case studies, all students and professionals in the data governance field will gain key insights into launching successful and money-saving data governance programs.• Incorporates industry changes, lessons learned, and new approaches• Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional• Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities• Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy, and data literacy• Content Transformation Elements (Helpful Hints, Essential Questions, Case Studies, Key Concepts, Definitions, Something to Think About, and Key Points) are designed to help students understand important aspects of Data Governance and lead them to Foundational learning throughout each chapter of the text
Data Governance
Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition