Publisher’s note
Every possible effort has been made to ensure that the information contained in this book is
accurate at the time of going to press, and the publisher and author cannot accept
responsibility for any errors or omissions, however caused. No responsibility for loss or
damage occasioned to any person acting, or refraining from action, as a result of the material
in this publication can be accepted by the editor, the publisher or the author.
First published in Great Britain and the United States in 2017 by Kogan Page Limited
Second edition published in 2022
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as
permitted under the Copyright, Designs and Patents Act 1988, this publication may only be
reproduced, stored or transmitted, in any form or by any means, with the prior permission in
writing of the publishers, or in the case of reprographic reproduction in accordance with the terms
and licences issued by the CLA. Enquiries concerning reproduction outside these terms should be
sent to the publishers at the undermentioned addresses:
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Kogan Page books are printed on paper from sustainable forests.
© Bernard Marr, 2017, 2022
The right of Bernard Marr to be identified as the author of this work has been asserted by him in
accordance with the Copyright, Designs and Patents Act 1988.
ISBNs
Hardback 978 1 3986 0260 1
Paperback 978 1 3986 0258 8
Ebook 978 1 3986 0259 5
British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library.
Library of Congress Cataloging-in-Publication Data
Names: Marr, Bernard, author.
Title: Data strategy: how to profit from a world of big data, analytics
and artificial intelligence / Bernard Marr.
Description: Second edition. | London, United Kingdom; New York, NY:
Kogan Page, 2022. | Includes bibliographical references and index.
Identifiers: LCCN 2021033564 (print) | LCCN 2021033565 (ebook) | ISBN
9781398602588 (paperback) | ISBN 9781398602601 (hardback) | ISBN
9781398602595 (ebook)
Subjects: LCSH: Business information services.
Classification: LCC HF54.5 .M37 2017 (print) | LCC HF54.5 (ebook) | DDC
658.4/038–dc23
LC record available at https://lccn.loc.gov/2021033564
LC ebook record available at https://lccn.loc.gov/2021033565
Typeset by Integra Software Services, Pondicherry
Print production managed by Jellyfish
Printed and bound by CPI Group (UK) Ltd, Croydon CR0 4YY
iv
CONTENTS
About the author x
Acknowledgements xi
01 Introduction: Why every business is now a data business 1
The astonishing growth of data, artificial intelligence and the Internet
of Things 1
A brave new (data-driven) world 3
Are we nearing true artificial intelligence? 7
The fourth industrial revolution – or Industry 4.0 8
Other world-changing technologies 10
Why every business must become a data business 11
Notes 13
02 Use cases for data 15
The six key use cases 16
Key data use cases in practice 19
Some industry-specific use cases 21
How data is revolutionizing the world of business 22
03 Using data to improve your business decisions 23
Setting out your key business questions 23
Understanding and interpreting your data 26
Curated data dashboards – the fine dining experience 27
Self-service data exploration dashboards – the raclette grill
experience 29
Raclette grill analytics in the real world 30
Data democratization and the role of the data translator 31
Data storytelling 32
The future of data visualization and storytelling 36
04 Using data to understand your customers 39
Understanding customer analytics 40
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