Data Strategy : How to Use Data and Artificial Intelligence to Transform Your Business (3RD)

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Data Strategy : How to Use Data and Artificial Intelligence to Transform Your Business (3RD)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 296 p.
  • 言語 ENG
  • 商品コード 9781398619593
  • DDC分類 658.054

Full Description

Every business needs data to survive. Build and implement a strategy to take advantage of data and generate critical insights with renowned data expert and one of the world's leading voices in business Bernard Marr.

Data Strategy is the key to building a robust approach to data that will give business leaders the competitive advantage they need to succeed in the digital economy. From small organizations to huge multinationals, a data-driven strategy gives every organization the tools to revolutionize their uses of data to deliver impact and profits. By building the right strategy to collect, use and manage data, this book will prepare any organization for the data-driven future.

In its fully updated third edition, this bestselling title covers the latest advances in data and AI. With updates covering synthetic data, generative AI, the potential of quantum computing and expanded content on cybersecurity, regulations and ethics, this book shows how to craft your own strategy. Bernard Marr uses his unrivalled expertise to show how you can gain an edge in the rapidly changing data-driven world.

Contents

Chapter - 01: Introduction - Why every business is now a data business;
Chapter - 02: Use cases for data;
Chapter - 03: Using data to improve your decision making;
Chapter - 04: Using data to understand your customers;
Chapter - 05: Using data to create more intelligent services;
Chapter - 06: Using data to make more intelligent products;
Chapter - 07: Using data to improve your business operations;
Chapter - 08: Increasing the value of your organisation through data and AI;
Chapter - 09: Defining your data use cases;
Chapter - 10: Sourcing and collecting data;
Chapter - 11: Ethics, data governance, trust and cybersecurity;
Chapter - 12: Turning data into insights;
Chapter - 13: Creating a technology and data infrastructure;
Chapter - 14: Building data competencies in your organization;
Chapter - 15: Executing and revisiting your data strategy;
Chapter - 16: Looking ahead

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