Beyond Bytes: Ethical Data Monetization in the Digital Age

Original price was: $39.95.Current price is: $34.95.
$39.95

Beyond Bytes: Ethical Data Monetization in the Digital Age, by Peter Aiken and Todd Harbour

Explore the transformative power of data syndicates. Learn how these innovative collaborations drive industry transformation and pave the way for ethical data monetization. 

Topics

One: Intro to Data Syndicates and Data Monetization

Definition of Data Syndicates
Definition of Data Monetization
History of Data Syndicates and Data Monetization
Benefits and Challenges of Data Syndicates and Data Monetization
The Importance of Data Monetization
Relationship of Data Syndicates to Data Monetization
From Syndicate Participation to Monetization Strategies
Importance of Data Syndicates and Monetization for Organization
Data Syndicates Are Indispensable
Key Insights


Two: The Mechanics of Data Monetization

Overview of Data Syndicates and Their Benefits
Types of Data Syndicates
How Data Syndicates are Formed and Operated
The Role of Data Monetization in Building a Data Syndicate
Best Practices for Building and Managing a Successful Data Syndicate
Key Insights


Three: Data Syndicates in Action

Key Players in a Data Syndicate
Case Studies of Successful Data Syndicates
Other Use Cases and Emerging Trends
Insights from Those That Have Successfully Monetized Their Data
Syndicate Companies that Have Successfully Monetized Their Data
Key Insights


Four: Legal and Ethical Considerations in Monetization

Importance of Legal and Ethical Considerations in Data Monetization
Risks and Challenges of Data Monetization
Legal Considerations in Data Monetization
Data Protection Laws and Regulations
Intellectual Property Rights and Data Ownership
Contracts and Agreements for Data Monetization
Liability and Risk Allocation in Data Monetization
Ethical Considerations in Data Monetization
Privacy and Confidentiality of Data
Fairness and Transparency in Data Collection and Use
Data Bias and Discrimination
Accountability and Responsibility in Data Monetization
Legal and Ethical Considerations in Data Monetization
Call to Action for Responsible Data Monetization Practices
Key Insights


Five: Maximizing the Value of Data Syndicates

Measuring the ROI of a Data Syndicate
Why Measuring ROI Is Important
Measuring the ROI of a Data Syndicate
Optimizing Data Collection and Management
Importance of Data Collection and Management in Maximizing Value
Fostering Collaboration and Communication
Strategies to Foster Collaboration Among Syndicate Members
Optimizing Data Collection and Management
Fostering Innovation and Collaboration
Key Insights


Six: The Future of Data Monetization

The Role of Data in Organizations
Trends in Data Monetization
Strategies for Data Monetization
Case Studies in Data Monetization
Emerging Trends in Data Monetization
The Role of Blockchain in Data Monetization
Ethical Considerations in Data Monetization
The Impact of Data Monetization on Society
New Technologies for Data Monetization
Emerging Trends in Data Monetization
Key Insights


Seven: Operationalizing Data Monetization

A Brief Recap of the Importance of Data Monetization Strategies
Assessing Organizational Readiness
Data Infrastructure and Technology
Data Governance and Compliance
Developing a Comprehensive Data Governance Framework
Navigating Data Privacy Laws and Regulations
Implementing Ethical Guidelines for Data Usage
Developing Data Products and Services
Identifying Market Needs and Opportunities for Data Products
Pricing and Revenue Models
Marketing and Sales Strategies for Data Products
Measuring Success and ROI
Key Takeaways


Eight: Final Thoughts

The authors skillfully unravel the complex world of data syndicates, beginning with their historical evolution and delving into their unique benefits and challenges. The book highlights the critical role of data monetization in today’s digital economy. It explores the intricate relationship between data syndicates and monetization, providing actionable strategies for effectively participating in and building data syndicates.

The book is invaluable for understanding how data syndicates navigate complex privacy and interoperability issues and harness emerging technologies to create new value. It presents a detailed roadmap for developing data products, aligning them with market needs and opportunities from conception to launch.

Enriched with compelling case studies from diverse industries, including healthcare, finance, and urban planning, the book offers practical insights into how data syndicates drive business innovation and improve outcomes. 

Business leaders, data enthusiasts, and stakeholders can leverage the power of data syndicates. This book offers a comprehensive guide to navigating the challenges and opportunities of data collaborations in the digital age, underscoring the potential of ethical data monetization to drive business success and deliver societal benefits. 

About Peter and Todd

Peter Aiken is acknowledged to be a top data management (DM) authority. As a practicing data manager, consultant, author, and researcher, he has been actively performing and studying DM for more than thirty years. His expertise has been sought by some of the world’s most important organizations, and his achievements have been recognized internationally. He has held leadership positions and consulted with more than 150 organizations in 27 countries across numerous industries, including intelligence, defense, banking, healthcare, telecommunications, and manufacturing. He is a sought-after keynote speaker and author of multiple publications, including his popular The Case for the Chief Data Officer and Monetizing Data Management, and he hosts the longest running and most successful webinar dedicated to data management. Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies. He is also an Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I), and Associate Director of the MIT International Society of Chief Data Officers.

Todd Harbour is the Chief Data Officer (CDO) for New York State, where he orchestrates work to design and implement a data management regime. Todd’s work includes developing a data governance strategy, framework, and roadmap; defining a unified information architecture; realizing master data; coordinating data sharing; and establishing a state-wide data analytics community of practice.

Prior to this role, Todd was a senior federal government official based in the Washington, D.C. metropolitan area. While there, he led work to establish data strategies, business frameworks, and data management platforms, which helped provide a reliable basis for answering questions from Congress and organizational leaders.

Previously, Todd served as senior vice president at FGM Inc., a software and systems engineering corporation in Northern Virginia. In this position, Todd led federal and international practices, developed business strategies, negotiated with lenders and investors, captured new business, engaged employees with challenging opportunities, and achieved measurable progress on enterprise vision, strategic goals, and objectives. Todd paired closely with business partners, other corporate officers, and the Board of Directors, leading growth to exceed 500+ employees with an assessed market value of $175M+.

Todd is a professionalized leader, executive, and data management expert. He is a certified Level 3 Project Manager and a certified Level 2 COTR with the Federal Government. He mentors project managers across their career and serves as a member of his organization’s project management certification board where he reviews, adjudicates, and counsels project managers.

Todd is a certified Project Management Professional (PMP), Program Management Professional (PgMP), Scrum Master (CSM), and Chief Information Officer (CIO) with the Project Management Institute and National Defense University. Todd is also a certified Data Management Professional (CDMP) and Data Governance and Stewardship Professional (DGSP) with the Data Management Association (DAMA). Todd currently holds four graduate degrees in information systems, project management, business administration, and government information leadership.

Bestsellers

Faculty may request complimentary digital desk copies

Please complete all fields.