| Description |
1 online resource (272 p.) |
| Contents |
Cover -- Title Page -- Copyright and Credits -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Why Data Stewardship and Why Me? -- Chapter 1: From Business Strategy to Data Strategy to Data Stewardship -- Understanding the strategic, tactical, and operational value of data stewardship -- Bridging the gap between data strategy and data operation -- Unlocking business value with data stewardship -- Understanding business strategy -- Understanding data strategy -- Operationalizing your data strategy via data stewardship |
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Exploring the mindset and skillset gap -- Translating strategy into execution -- Data collection -- Data governance framework -- Analytics and reporting tools -- Tracking progress -- Decoding data governance, management, and stewardship -- Data stewards don different hats -- Summary -- Chapter 2: How Data Stewardship Can Help Your Organization -- Defining data stewardship -- The work scope of a data steward -- Understanding the role of a data steward -- Types of data stewards -- Comparing strategic data stewardship with a standard operating procedure |
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Using business cases for storytelling and value realization -- Creating a competitive edge with data stewardship -- Summary -- Chapter 3: Getting Started with the Data Stewardship Program -- Defining the origin and destination of your data stewardship program -- Getting buy-in of data stewardship from stakeholders -- Building a prioritization matrix -- The impact-effort matrix -- The RICE method -- MoSCoW analysis -- Comparing different prioritization matrices -- Assessing data maturity -- Building the foundation of your data stewardship program -- Summary |
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Part 2: How to Become a Data Steward and Shine! -- Chapter 4: Developing a Comprehensive Data Management Strategy -- What is a data strategy? -- Assessing your current data environment for creating a data strategy -- Where are you now? -- Data maturity assessment -- The CDMC framework -- Fulfilling the business and data strategy -- Where do you want to go? -- Spider web diagram -- Introducing the people, process, and technology -- How do we get there? -- Making the impact visible to your stakeholders -- Feedback loop to measure and report progress -- Engagement model -- Summary |
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Chapter 5: People, Process, and Technology -- Empowering people for an effective data stewardship program -- Roles and responsibilities -- Skills and training -- Stakeholder engagement -- Demonstrating the return on investment (ROI) of a data stewardship program -- Standardizing processes to ensure consistent data operation -- Data governance framework -- Data compliance and risk management -- Leveraging technology to fast-track your data journey -- Data infrastructure -- Data integration -- Data security and privacy technologies -- Investment strategy on technology for data stewardship |
| Summary |
Take your organization's data maturity to the next level by operationalizing data governance Key Features Develop the mindset and skills essential for successful data stewardship Apply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardship Follow a step-by-step program to develop a data operating model and implement data stewardship effectively Purchase of the print or Kindle book includes a free PDF eBook Book Description In the competitive data-centric world, mastering data stewardship is not just a requirement--it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency. From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You'll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You'll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you'll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship. By the end of this book, you'll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management. What you will learn Enhance your job prospects by understanding the data stewardship field, roles, and responsibilities Discover how to develop a data strategy and translate it into a functional data operating model Develop an effective and efficient data stewardship program Gain practical experience of establishing a data stewardship initiative Implement purposeful governance with measurable ROI Prioritize data use cases with the value and effort matrix Who this book is for This book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started |
| Notes |
Description based upon print version of record |
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Fostering the data culture |
| Subject |
Information technology -- Security measures
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Data protection.
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Data warehousing.
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| Form |
Electronic book
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| Author |
Zhan, Jiayang, writer of foreword.
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| ISBN |
9781837638123 |
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1837638128 |
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