The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics

The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics

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This is the book that helps managers maximise the business value brought by data to their organisation.  Are you eager to unlock the power of data in your organization? In the Financial Times Guide to Data Driven Transformation, Andrea De Mauro and Michele Pacifico provide a comprehensive roadmap for leaders aiming to harness the full… Přejít na celý popis

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This is the book that helps managers maximise the business value brought by data to their organisation. 

Are you eager to unlock the power of data in your organization? In the Financial Times Guide to Data Driven Transformation, Andrea De Mauro and Michele Pacifico provide a comprehensive roadmap for leaders aiming to harness the full potential of data analytics. This guide is designed for top executives, data leaders, and practitioners who are seeking to drive substantial business value and navigate the complex landscape of digital transformation.

The book covers key strategies for building data-driven cultures, developing analytics roadmaps, and leveraging artificial intelligence to support decision-making. Through practical insights and real-world examples, the authors show how businesses can unlock value from their data assets, streamline operations, and gain a competitive advantage. Whether you''re at the early stages of your data journey or looking to enhance existing capabilities, this guide offers the tools you need to succeed.

Drawing from the extensive experience of both authors, this book is more than a theoretical guide; it''s a hands-on, actionable resource tailored for professionals who want to make data an integral part of their company’s strategy and operational excellence.

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Nakladatel
Pearson
Rozměr
234 x 156 x 16
jazyk
angličtina
Vazba
měkká vazba
Hmotnost
394 g
isbn
978-1-292-46214-1
Počet stran
256
datum vydání
28.08.2024
ean
9781292462141

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