Harnessing Data for Improved Productivity
University of Toronto Press (Verlag)
978-1-4875-6692-0 (ISBN)
In this golden age of technology, gaining an in-depth understanding of information-driven innovation has become more important than ever. Harnessing Data for Improved Productivity provides readers a rare optimistic look into a quickly evolving landscape. The book scaffolds its analysis of data in its monumental ability to boost productivity and fuel economic growth as a novel driver for production.
Long-term technology experts Sun Dan, Shen Yushi, and Zhao Yong explore this phenomenon from multiple perspectives, ensuring a holistic journey through the realm of data. They analyse its fundamental nature, trace the evolution of the ever-expanding data ecosystem, and emphasize the transformative impact of its advancements on the future. They not only examine key aspects of its lifecycle management but also the challenges and priorities in its corporate governance. The co-authors’ deeply comprehensive approach to this pressing development renders this book into quintessential reading, not only for technology experts and corporate executives, but also laypeople interested in mobilizing data for broader progress.
Harnessing Data for Improved Productivity uncovers the insights needed to navigate the data revolution and leverage its full potential. By delving into its core fundamentals and its breathtaking future, this book offers readers the extraordinary power to turn the impossible into reality.
Sun Dan is Global Senior Vice President and China President of Seagate Technology. Shen Yushi is Founder and Chairman of Finomena Technology and Director of the Tsinghua Intelligent Network Computing Lab. Zhao Yong is a Researcher at the Asia Blockchain Industry Research Institute and Member of the Big Data Committee of the China Computer Federation.
Preface 1
Preface 2
Preface 3
Preface 4
Preface 5
Introduction
1. Understanding Data
2. Data Types, Sources, and Creation Locations
3. The Future of Data
4. Data Lifecycle Management
5. The Purpose and Significance of Full Lifecycle Data Management
6. Challenges in Enterprise Data Management
7. The Core Focus of Enterprise Data Lifecycle Management
8. Traditional Applications of Data
9. Emerging Fields
References
| Erscheinungsdatum | 02.08.2025 |
|---|---|
| Verlagsort | Toronto |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 1 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik | |
| Wirtschaft ► Volkswirtschaftslehre ► Finanzwissenschaft | |
| Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie | |
| ISBN-10 | 1-4875-6692-1 / 1487566921 |
| ISBN-13 | 978-1-4875-6692-0 / 9781487566920 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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