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"
