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Monetization and Information-Based Business Models
Paperback
Series: Data Governance, Book 31
Publisher: Independently Published
Published: Mar 19 2025
Pages: 154
Weight: 0.47
Height: 0.33 Width: 6.00 Depth: 9.00
Language: English
- Direct and indirect economic models for efficiently commercializing data.
- Strategies used by leading companies to price and value information.
- The transformative power of data exchange platforms (DMPs and CDPs).
- How artificial intelligence enhances the monetization of unstructured data.
- The ethical and regulatory challenges shaping the future of the informational economy.
- The revolutionary impact of Web3, blockchain, and tokens on data decentralization. Upon finishing this book, you'll be able to:
- Develop monetization strategies tailored to your business or organization.
- Assess the real value of information assets your company already possesses.
- Implement data-based business models that generate recurring revenue.
- Understand and navigate the complex global regulatory landscape (GDPR, LGPD, CCPA).
- Structure technological architectures that maximize data value.
- Apply governance principles that balance monetization and privacy. This book is ideal for:
- Executives and decision-makers seeking new revenue sources.
- Data professionals, scientists, and analysts interested in the commercial aspect of information.
- Entrepreneurs developing data-based business models.
- Investors evaluating startups and companies in the digital economy.
- Marketing and product professionals working with audience monetization.
- Students and academics interested in the economic foundations of the digital era. While others discuss the data revolution, this book delivers the treasure map for those who want to transform information into sustainable revenue. With in-depth case studies, practical models, and strategic vision, you'll be ready to capitalize on the most valuable asset of the digital era. The question is no longer whether data can generate value, but rather: are you extracting the full financial potential from your information? About the author.
Prof. Marcão, Master in Information Technology and author of more than 200 books, is a technology thinker who has been working in information architecture and attribute engineering since the 1980s. His most significant contribution to the field lies in the development of innovative methodologies for Data Governance, Big Data, and Data Warehouse, including data modeling patterns, data warehouse, data model validation and management, as well as data mart development.
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