Book Image

Data Stewardship in Action

By : Pui Shing Lee
Book Image

Data Stewardship in Action

By: Pui Shing Lee

Overview of this book

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.
Table of Contents (18 chapters)
Free Chapter
1
Part 1:Why Data Stewardship and Why Me?
5
Part 2:How to Become a Data Steward and Shine!
12
Part 3:What Makes Data Stewardship a Sustainable Success?

Pairing data and AI

Using AI, particularly GPT, can transform enterprise data management, enhancing decision-making, insights, and efficiency. The integration of data governance, stewardship, and AI fosters improved enterprise operations.

Data is the fuel that powers AI, and AI is the engine that drives actionable insights from data. By bringing together data and AI, you can achieve the following:

  • Uncover and leverage emerging trends by analyzing large volumes and varieties of data from multiple sources: Data stewards can use AI to manage vast and diverse data, helping data analysts to uncover and seize industry and market opportunities.
  • Automate customer segmentation: AI can analyze consumer behavior patterns within data, allowing data stewards to automate segmentation and deliver tailored customer experiences.
  • Optimize digital marketing: Data stewards maintain good quality customer data for AI-powered personalized marketing while ensuring ethical use, data privacy...