9798904317867 - designing decision systems: how data and ai turn decisions into business outcomes de ankit rathi (7 resultados)

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 17,65
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Condición: New.

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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 18,72
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 17,34
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 22,75
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Taschenbuch. Condición: Neu. Neuware - This book explores how modern organizations design, operate, and govern systems that convert observations of reality into better decisions. While data platforms, analytics, and machine learning have advanced rapidly, many organizations still struggle to translate these capabilities into con…sistent, measurable business impact.The central idea of this book is that the true purpose of data systems is not analysis, but decision-making. Using the framework Reality ? Data ? Intelligence ? Decision ? Action ? Outcome ? Learning, the book shows how data infrastructure, analytical models, and operational workflows can be integrated into decision intelligence systems that continuously improve over time.Beyond building these systems, the book emphasizes the importance of feedback loops, experimentation, and governance. It explains how organizations can ensure that decision systems remain reliable, aligned with objectives, and capable of learning without amplifying errors or unintended consequences.Written for data professionals, product managers, and business leaders, this book provides a systems-oriented approach to aligning data and AI with real organizational outcomes-transforming isolated capabilities into scalable, decision-driven performance.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 18,92
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Paperback. Condición: new. Paperback. This book explores how modern organizations design, operate, and govern systems that convert observations of reality into better decisions. While data platforms, analytics, and machine learning have advanced rapidly, many organizations still struggle to translate these capabilities into cons…istent, measurable business impact.The central idea of this book is that the true purpose of data systems is not analysis, but decision-making. Using the framework Reality Data Intelligence Decision Action Outcome Learning, the book shows how data infrastructure, analytical models, and operational workflows can be integrated into decision intelligence systems that continuously improve over time.Beyond building these systems, the book emphasizes the importance of feedback loops, experimentation, and governance. It explains how organizations can ensure that decision systems remain reliable, aligned with objectives, and capable of learning without amplifying errors or unintended consequences.Written for data professionals, product managers, and business leaders, this book provides a systems-oriented approach to aligning data and AI with real organizational outcomes-transforming isolated capabilities into scalable, decision-driven performance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 27,98
Envío por EUR 31,71Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This book explores how modern organizations design, operate, and govern systems that convert observations of reality into better decisions. While data platforms, analytics, and machine learning have advanced rapidly, many organizations still struggle to translate these capabilities into cons…istent, measurable business impact.The central idea of this book is that the true purpose of data systems is not analysis, but decision-making. Using the framework Reality Data Intelligence Decision Action Outcome Learning, the book shows how data infrastructure, analytical models, and operational workflows can be integrated into decision intelligence systems that continuously improve over time.Beyond building these systems, the book emphasizes the importance of feedback loops, experimentation, and governance. It explains how organizations can ensure that decision systems remain reliable, aligned with objectives, and capable of learning without amplifying errors or unintended consequences.Written for data professionals, product managers, and business leaders, this book provides a systems-oriented approach to aligning data and AI with real organizational outcomes-transforming isolated capabilities into scalable, decision-driven performance. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 21,05
Envío por EUR 43,24Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This book explores how modern organizations design, operate, and govern systems that convert observations of reality into better decisions. While data platforms, analytics, and machine learning have advanced rapidly, many organizations still struggle to translate these capabilities into cons…istent, measurable business impact.The central idea of this book is that the true purpose of data systems is not analysis, but decision-making. Using the framework Reality Data Intelligence Decision Action Outcome Learning, the book shows how data infrastructure, analytical models, and operational workflows can be integrated into decision intelligence systems that continuously improve over time.Beyond building these systems, the book emphasizes the importance of feedback loops, experimentation, and governance. It explains how organizations can ensure that decision systems remain reliable, aligned with objectives, and capable of learning without amplifying errors or unintended consequences.Written for data professionals, product managers, and business leaders, this book provides a systems-oriented approach to aligning data and AI with real organizational outcomes-transforming isolated capabilities into scalable, decision-driven performance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.