Artículos relacionados a Data-driven transformation. Maximise business value...

Data-driven transformation. Maximise business value with data analytics The FT guide: How to drive substantial business value with data analytics (Vocational/Professional studies) - Tapa blanda

De Mauro, Andrea; Pacifico, Michele

 
9781292462141: Data-driven transformation. Maximise business value with data analytics The FT guide: How to drive substantial business value with data analytics (Vocational/Professional studies)
Tapa blanda
ISBN 10: 1292462140 ISBN 13: 9781292462141
Editorial: Pearson, 2024

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Andrea De Mauro is currently Head of Data & Analytics at Vodafone. He has more than 15 years of international experience managing Data Analytics and Data Science organizations. He is a social media influencer, a professor, a researcher, and a popular science author of several books in English and Italian. He appeared in 2022 global “Forty Under 40” list by CDO magazine. Previously, he served as Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of data analytics in the business and the development of digital fluency across the global organization.  
Michele Pacifico is currently Senior Product Manager for Commercial Analytics in the global analytics team of Nestlé. He has spent the last 15 years in various Business Intelligence and Data Analytics roles in Fast Moving Consumer Goods and software industries, mostly focusing on business facing responsibilities across countries and organizations. From building valuable analytics use cases to helping develop analytics roadmaps and data strategies in different organizations, data analytics is has been a key passion accompanying him throughout his whole career.

De la contraportada

This book will help managers maximise the business value of data to their organisation. Despite data analytics and AI being recognised as critical value drivers for organisations, less than half of the companies report that they have created a data-driven organisation or established a data culture yet. Business leaders and analytics managers are currently struggling to move from theory to practice, and this book is all about solving this problem for them. This indispensable guide provides an actionable path filled with practical tools to navigate and accelerate the journey of data-driven transformation.


• Understand the underlying trends and models driving change and accelerate digital transformation in your company.
• Learn from real-world examples that show how companies of any size and industry have successfully navigated their data journeys.
• Utilise immediately applicable templates and frameworks that cover everything from data governance and technology enablers to organisational setup choices and AI deployment strategies.
• Benefit from straightforward advice and checklists, ensuring you can plan and lead data transformation effectively within your organisation.

Written by recognised experts in the field, this book simplifies complex topics such as artificial intelligence, machine learning, and data management into manageable segments.
 
Whether you're a top manager needing to frame the right questions, a data leader aiming to link technical aspects to business value, or a practitioner looking to enhance your role, this book is designed to help you make a substantial impact on your organisation's data culture and capabilities.
Put data transformation theory into practice, with The Financial Times Guide to Data-Driven Transformation.
“An essential guide for anyone looking to navigate the complexities of data transformation (and there are plenty of complexities to navigate!).” Kate Strachnyi, Founder of DATAcated

"This book stands out for its clarity about key analytics and AI concepts, the many real examples it provides, and the very helpful guidelines and methods for becoming data-driven. And yes, it includes AI too." Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy, Author of "Competing on Analytics and All In on AI"
 

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Pearson
Año de publicación
2024
Idioma
Inglés
ISBN 10 
1292462140
ISBN 13 
9781292462141
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
232
Contacto del fabricante
salesde@pearson.com
salesde@pearson.com

St.-Martin-Straße 82
München
81541
Alemania