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Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence

Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence

Authors
Publisher Kogan Page Ltd
Year 03/10/2021
Pages 272
Version paperback
Readership level Professional and scholarly
Language English
ISBN 9781398602588
Categories Business strategy
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151.20 PLN / €32.42 / £28.14
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Book description

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.

Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence

Table of contents

Chapter - 01: Why every business is a data business;

Chapter - 02: Finding your strategic data needs;

Chapter - 03: Using data to improve decision-making;

Chapter - 04: Using data to understand your customers and markets;

Chapter - 05: Using data to provide more intelligent services;

Chapter - 06: Using data to make more intelligent products;

Chapter - 07: Using data to improve your business processes;

Chapter - 08: Monetising your data;

Chapter - 09: Defining your data use cases;

Chapter - 10: Sourcing and collecting the data;

Chapter - 11: Data Governance, ethics and trust;

Chapter - 12: Turning data into insights;

Chapter - 13: Creating the technology and data infrastructure;

Chapter - 14: Building the data competencies in your organisation;

Chapter - 15: Executing & revisiting your data strategy;

Chapter - 16: A look ahead

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