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Information Architecture: Structuring Corporate Knowledge
Paperback
Series: Data Governance, Book 24
Please select the version of book you would like to purchase.
ISBN13: 9798314386361
Publisher: Independently Published
Published: Mar 17 2025
Pages: 200
Weight: 0.60
Height: 0.42 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Mar 17 2025
Pages: 200
Weight: 0.60
Height: 0.42 Width: 6.00 Depth: 9.00
Language: English
In the age of information overload, where organizations drown in oceans of data while desperately seeking actionable knowledge, information architecture emerges as the essential compass for strategic navigation. This eye-opening volume transcends superficial approaches to offer an in-depth, multidimensional exploration of how to structure, connect, and mobilize informational heritage for sustainable competitive advantage. From the revolutionary transformation of Data Fabric and Data Mesh to the critical fundamentals of metadata and interoperability, this book maps the territory of organizational intelligence with precision and clarity. Combining conceptual rigor with operational pragmatism, we offer not only abstract theories, but applicable frameworks grounded in real-world implementations in global organizations. Key topics covered:
- Emerging architectural paradigms (Data Fabric and Data Mesh) and their practical implementation.
- Evolution of metadata and interoperability as foundations of semantic cohesion.
- Converged technological infrastructures (Data Warehouses, Lakes, Vaults) in hybrid ecosystems.
- Knowledge Graphs as platforms for explicit modeling of relationships and contexts.
- Cognitive automation and AI as active partners in knowledge management.
- Adaptive governance to balance control and flexibility in complex environments. By reading this book, you will be able to:
- Design informational architectures that transcend organizational silos.
- Implement effective strategies to preserve meaning and context in distributed environments.
- Select and integrate complementary technologies for maximum organizational value.
- Build infrastructures that evolve organically with emerging needs.
- Develop critical competencies for successful data-driven transformation.
- Balancing technical, organizational, and cultural dimensions in complex implementations. Ideal for:
- Enterprise architects and data governance specialists.
- Technology leaders and executives responsible for digital strategies.
- Data scientists and analysts looking to contextualize their technical skills.
- Project managers implementing data-driven transformations.
- Digital and organizational strategy consultants.
- Academics and students in information science and corporate systems. This is not just a technical manual, but a transformative guide to the next generation of cognitive architectures that define how organizations think, learn, and evolve. Through substantive case studies and incisive analysis, we illuminate the path from informational fragmentation to integrated organizational intelligence. In a world where the ability to structure knowledge in a meaningful and actionable way defines competitive success, Information Architecture offers the conceptual and practical map to confidently navigate the emerging digital economy. Part of the comprehensive Data Governance collection, essential for leaders and organizations committed to sustainable excellence in the age of artificial intelligence and cognitive automation. 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.
- Evolution of metadata and interoperability as foundations of semantic cohesion.
- Converged technological infrastructures (Data Warehouses, Lakes, Vaults) in hybrid ecosystems.
- Knowledge Graphs as platforms for explicit modeling of relationships and contexts.
- Cognitive automation and AI as active partners in knowledge management.
- Adaptive governance to balance control and flexibility in complex environments. By reading this book, you will be able to:
- Design informational architectures that transcend organizational silos.
- Implement effective strategies to preserve meaning and context in distributed environments.
- Select and integrate complementary technologies for maximum organizational value.
- Build infrastructures that evolve organically with emerging needs.
- Develop critical competencies for successful data-driven transformation.
- Balancing technical, organizational, and cultural dimensions in complex implementations. Ideal for:
- Enterprise architects and data governance specialists.
- Technology leaders and executives responsible for digital strategies.
- Data scientists and analysts looking to contextualize their technical skills.
- Project managers implementing data-driven transformations.
- Digital and organizational strategy consultants.
- Academics and students in information science and corporate systems. This is not just a technical manual, but a transformative guide to the next generation of cognitive architectures that define how organizations think, learn, and evolve. Through substantive case studies and incisive analysis, we illuminate the path from informational fragmentation to integrated organizational intelligence. In a world where the ability to structure knowledge in a meaningful and actionable way defines competitive success, Information Architecture offers the conceptual and practical map to confidently navigate the emerging digital economy. Part of the comprehensive Data Governance collection, essential for leaders and organizations committed to sustainable excellence in the age of artificial intelligence and cognitive automation. 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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