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:
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.
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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Condición: new. Nº de ref. del artículo: VPX5NNAFVR
Cantidad disponible: Más de 20 disponibles
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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
Cantidad disponible: Más de 20 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 248 pages. 6.14x0.43x9.21 inches. In Stock. Nº de ref. del artículo: __1783308516
Cantidad disponible: 2 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Nº de ref. del artículo: 408425294
Cantidad disponible: 3 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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
Cantidad disponible: 1 disponibles
Librería: Books Puddle, Woodside, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26405777553
Cantidad disponible: 3 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. Nº de ref. del artículo: 18405777563
Cantidad disponible: 3 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Neuware - Foreword by Thomas C. RedmanDespite decades of investment in data platforms, analytics tools and artificial intelligence, many organizations 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 organizations must do differently to unlock the true potential of data and AI.At the center of the book is the Enabling Data Model, a new mental model for designing organizations where data, analytics, and AI can scale. Rather than focusing solely on technology or isolated innovation projects, the model highlights the organizational 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 organizations. 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; and- 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. Nº de ref. del artículo: 9781783308514
Cantidad disponible: 2 disponibles
Librería: Speedyhen, Hertfordshire, Reino Unido
Condición: NEW. Nº de ref. del artículo: NW9781783308514
Cantidad disponible: 10 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781783308514
Cantidad disponible: 1 disponibles