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Data strategy = how to profit from a world of big data, analytics and artificial intelligence /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data strategy/ Bernard Marr.
Reminder of title:
how to profit from a world of big data, analytics and artificial intelligence /
Author:
Marr, Bernard.
Published:
London ;Kogan Page, : 2022.,
Description:
1 online resource.
Subject:
Business information services. -
Online resource:
https://portal.igpublish.com/iglibrary/search/KOGANB0002261.html
ISBN:
9781398602595
Data strategy = how to profit from a world of big data, analytics and artificial intelligence /
Marr, Bernard.
Data strategy
how to profit from a world of big data, analytics and artificial intelligence /[electronic resource] :Bernard Marr. - 2nd ed. - London ;Kogan Page,2022. - 1 online resource.
Includes bibliographical references and index.
"BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) 90% of today's data was generated in the last two years and the amount of data we have available is predicted to double every two years. Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights from bestselling author and big data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals. But this resource is too often not being fully utilized and is far from being arguably the world's most valuable resource. Data Strategy is the must-read guide on how to create a robust data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy. This new edition of this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world"--
ISBN: 9781398602595
LCCN: 2021033565Subjects--Topical Terms:
654161
Business information services.
LC Class. No.: HF54.5
Dewey Class. No.: 658.4/038
Data strategy = how to profit from a world of big data, analytics and artificial intelligence /
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how to profit from a world of big data, analytics and artificial intelligence /
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Bernard Marr.
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Kogan Page,
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2022.
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1 online resource.
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Includes bibliographical references and index.
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"BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) 90% of today's data was generated in the last two years and the amount of data we have available is predicted to double every two years. Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights from bestselling author and big data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals. But this resource is too often not being fully utilized and is far from being arguably the world's most valuable resource. Data Strategy is the must-read guide on how to create a robust data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy. This new edition of this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world"--
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Description based on print version record and CIP data provided by publisher; resource not viewed.
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Business information services.
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https://portal.igpublish.com/iglibrary/search/KOGANB0002261.html
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