Lingua: Inglese
Editore: MY - University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: University of Toronto Press, CA, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Aggiungi al carrelloHardback. Condizione: New. 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.
Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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EUR 110,09
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Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 106,50
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Lingua: Inglese
Editore: University of Toronto Press, Toronto, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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. 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. Harnessing Data for Improved Productivity is essential reading for those seeking to master data and shape its impacts on our collective future. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Lingua: Inglese
Editore: MY University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
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Aggiungi al carrelloHardcover. Condizione: Brand New. 272 pages. 9.00x6.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: University of Toronto Press, Toronto, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
Da: CitiRetail, Stevenage, Regno Unito
EUR 110,45
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. 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. Harnessing Data for Improved Productivity is essential reading for those seeking to master data and shape its impacts on our collective future. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: University of Toronto Press, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 156,78
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Lingua: Inglese
Editore: University of Toronto Press, CA, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
Da: Rarewaves.com UK, London, Regno Unito
EUR 106,51
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Aggiungi al carrelloHardback. Condizione: New. 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.
Lingua: Inglese
Editore: University of Toronto Press, Toronto, 2025
ISBN 10: 1487566921 ISBN 13: 9781487566920
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 186,95
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. 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. Harnessing Data for Improved Productivity is essential reading for those seeking to master data and shape its impacts on our collective future. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.