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Sinopsis
Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?
Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.
At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.
Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:
- A clear explanation of why many data and AI initiatives fail to deliver impact
- A new mental model for aligning data capabilities with business strategy and innovation
- Practical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into action
Combining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
David Castro-Gavino has nearly three decades of experience helping organisations turn data, analytics and artificial intelligence into real business value. He currently serves as Executive Director at AstraZeneca, where he leads data deployment for Axial, the company's enterprise-wide ERP transformation. Previously he led the global data transformation at HelloFresh during a period of rapid international growth, establishing the foundations for scalable analytics and AI across the organisation. A regular speaker at international conferences, he has been recognised in the DataIQ 100. He is based in London, UK.
Boyan Angelov is Principal Data Strategist at Exxeta, an innovative technology and consultancy company. He has previously published Elements of Data Strategy and Python and R for the Modern Data Scientist (with Rick J. Scavetta). Throughout his career, he has advised organisations of all sizes on data and AI-powered transformation in roles ranging from data strategist to CTO and Principal. He is based in Berlin, Germany.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Enabling Data (Paperback)
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Facet Publishing, London, 2026
ISBN 10: 1783308516
ISBN 13: 9781783308514
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Paperback. Condición: new. Paperback. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value. Through a story, a model, and a data manifesto, this book challenges the reader to rethink how enabling data can add real value to an organisation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781783308514
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Enabling Data A New Model for DataDriven Success in Your Organization
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Enabling Data A New Model for DataDriven Success in Your Organization
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Condición: New. David Castro-Gavino has nearly three decades of experience helping organisations turn data, analytics and artificial intelligence into real business value. He currently serves as Executive Director at AstraZeneca, where he leads data deployment fo. Nº de ref. del artículo: 3166610501
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Enabling Data (Paperback)
Publicado por
Facet Publishing, London, 2026
ISBN 10: 1783308516
ISBN 13: 9781783308514
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Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value. Through a story, a model, and a data manifesto, this book challenges the reader to rethink how enabling data can add real value to an organisation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781783308514
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Enabling Data
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Paperback. Condición: New. Why do organisations still struggle to realise meaningful value from data and artificial intelligence, despite decades of technological progress?Despite decades of investment in data platforms, analytics tools and artificial intelligence, many organisations still struggle to turn data into real business impact. Too often, data initiatives become trapped in cycles of pilots, fragmented platforms and growing technical complexity, while the promised value remains just out of reach. This book explores why that happens and what organisations must do differently to unlock the true potential of data and AI.At the centre of the book is the Enabling Data Model, a new mental model for designing organisations where data, analytics and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organisational foundations required for data work to succeed, aligning strategy, governance, technology and people around the shared goal of generating value from data.Accompanied by a Data Manifesto that articulates the first principles of enabling data, the book helps leaders rethink how data initiatives should be structured, governed and sustained in complex organisations. Readers will gain:A clear explanation of why many data and AI initiatives fail to deliver impactA new mental model for aligning data capabilities with business strategy and innovationPractical tools including diagnostic rubrics, data personas, use case templates and the Platform Fit Canvas to translate ideas into actionCombining strategic insight with practical guidance, this book equips senior data leaders, CDOs, product leaders and analysts with the perspectives and tools needed to move beyond experimentation and build the foundations required for data, analytics and AI to generate lasting business value. Nº de ref. del artículo: LU-9781783308514
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