Foundations of Data Governance: Principles, Practices and Frameworks | Governing Data in the AI Era | AGPH Books
| Weight | 0.400 kg |
|---|---|
| Dimensions | 22.86 × 15.24 × 1.6 cm |
| ISBN Number | 978-93-89319-75-0 |
| No. Of Pages | 331 |
| Publication Date | 16/12/2025 |
| Authors: | Dilliraja Sundar, Jayant Bhat, Yashovardhan Jayaram |
₹879.00
Foundations of Data Governance: Principles, Practices and Frameworks is a practical and authoritative guide to managing data as a strategic enterprise asset. As organizations increasingly depend on data for decision-making, compliance, and digital transformation, this book explains how strong governance ensures data is accurate, secure, and trustworthy. It clearly defines data governance and explores its core components, including data quality, stewardship, metadata management, accountability, and regulatory alignment. The book bridges theory and real-world application by presenting proven frameworks, operational practices, and examples that help organizations design and implement effective governance programs. It also examines how data governance must evolve to support modern environments such as cloud platforms and AI-driven systems. Written for business leaders, data professionals, and students, this book provides a balanced foundation of principles and hands-on guidance for building sustainable governance structures that enhance compliance, improve decision-making, and strengthen organizational confidence in data.
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Foundations of Data Governance: Principles, Practices and Frameworks | Governing Data in the AI Era | AGPH Books
₹879.00
Foundations of Data Governance: Principles, Practices and Frameworks is a practical and authoritative guide to managing data as a strategic enterprise asset. As organizations increasingly depend on data for decision-making, compliance, and digital transformation, this book explains how strong governance ensures data is accurate, secure, and trustworthy. It clearly defines data governance and explores its core components, including data quality, stewardship, metadata management, accountability, and regulatory alignment. The book bridges theory and real-world application by presenting proven frameworks, operational practices, and examples that help organizations design and implement effective governance programs. It also examines how data governance must evolve to support modern environments such as cloud platforms and AI-driven systems. Written for business leaders, data professionals, and students, this book provides a balanced foundation of principles and hands-on guidance for building sustainable governance structures that enhance compliance, improve decision-making, and strengthen organizational confidence in data.
Availability: 1 in stock

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Premium products crafted with care, ensuring long-lasting durability and reliability.

Cost Effective
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Book Title: Foundations of Data Governance: Principles, Practices and Frameworks
Foundations of Data Governance: Principles, Practices and Frameworks offers a timely and comprehensive exploration of a critical discipline in today’s data-driven world. As organizations increasingly rely on data, the book explains how governance supports strategic decisions and digital transformation. Moreover, it positions data as a strategic enterprise asset. It also shows how effective governance protects accuracy, security, and reliability across the data lifecycle.
To begin with, the Foundations of Data Governance: Principles, Practices and Frameworks defines data governance within a broader organizational context. In doing so, it highlights regulatory alignment and the business value of trustworthy data. In addition, it examines key components such as data quality, stewardship, metadata management, and accountability models. Together, these components form a unified governance ecosystem. For example, the author uses conceptual frameworks and real-world cases to clarify complex ideas for executives, data professionals, and students.
Furthermore, the book explores how data governance interacts with emerging technologies. These include cloud platforms and artificial intelligence. As a result, readers learn how organizations must adapt governance frameworks to support innovation and scale. Most importantly, the book balances principles, practical application, and governance frameworks. Therefore, organizations can design strong governance strategies and operationalize them for measurable success. Ultimately, the book offers valuable insights for leaders, practitioners, and academics. It helps them strengthen decisions, ensure compliance, and build lasting trust in data.
About the Authors:
Dilliraja Sundar
Dilliraja Sundar is a technology expert specializing in cloud data engineering, artificial intelligence, and secure data governance. He has designed large-scale data platforms on AWS and built solutions for predictive analytics, compliance automation, data privacy, and real-time monitoring. His work spans education, government, and industry. He focuses on creating intelligent, secure, and regulation-aligned data ecosystems that meet standards such as GDPR, HIPAA, FERPA, and IT Act guidelines. In this book, he presents a practical framework for AI-powered governance and compliance monitoring.
Yashovardhan Jayaram
Yashovardhan Jayaram is a technology leader with deep expertise in digital transformation and Enterprise Content Management (ECM). He specializes in modernizing legacy systems into scalable, secure, and intelligent platforms. He integrates AI and machine learning to improve operational efficiency and user experience. His work spans industries such as higher education, insurance, digital marketing, public safety, transportation, energy, and telecommunications. He actively contributes as a researcher, speaker, and thought leader in ECM and digital experience technologies.
Jayant Bhat
Jayant Bhat is a seasoned technology leader known for AI-driven and security-focused enterprise solutions. His expertise covers AI, cybersecurity, data governance, secure integrations, workflow automation, cloud architecture, and enterprise modernization. He has helped institutions, especially in higher education and the public sector, improve governance maturity through automation, metadata intelligence, and compliance monitoring. His work bridges technical innovation and practical governance, enabling responsible and intelligent data use. He is also an active researcher, speaker, and certified professional across ERP, CRM, and integration platforms.
About The Publisher:
AGPH Books is a Professional Self Book Publishing House based in Central India, specializing in academic, professional, fiction, and non-fiction books in both print, digital and audio formats. The publishing house produces textbooks, research and reference works, biographies, self-help titles, children’s books, literary fiction, poetry, and general interest publications. With a transparent publishing process and strong digital distribution, AGPH Books ensures global availability through Google Books, Amazon, Flipkart, and its official website store, supporting authors and institutions in reaching a wide and diverse readership.
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Foundations of Data Governance: Principles, Practices and Frameworks | Governing Data in the AI Era | AGPH Books
| Weight | 0.400 kg |
|---|---|
| Dimensions | 22.86 × 15.24 × 1.6 cm |
| ISBN Number | 978-93-89319-75-0 |
| No. Of Pages | 331 |
| Publication Date | 16/12/2025 |
| Authors: | Dilliraja Sundar, Jayant Bhat, Yashovardhan Jayaram |
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