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Data Stewardship in Action A Roadmap to Data Value Realization and Measurable Business Outcomes
Author
Title
Data Stewardship in Action [electronic resource] : A Roadmap to Data Value Realization and Measurable Business Outcomes / Pui Shing Lee ; foreword by Dr. Toa Charm.
ISBN
9781837638123
1837638128
1837636591
9781837636594
Edition
1st edition.
Published
Birmingham : Packt Publishing, Limited, 2024.
Physical Description
1 online resource (272 p.)
Local Notes
Access is available to the Yale community.
Notes
Description based upon print version of record.
Fostering the data culture
Access and use
Access restricted by licensing agreement.
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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Lee, Pui Shing Data Stewardship in Action Birmingham : Packt Publishing, Limited,c2024
Format
Books / Online
Language
English
Added to Catalog
April 02, 2024
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
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
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
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
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
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