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| Titre : | Data science and analytics strategy : an emergent design approach | | Type de document : | texte imprimé | | Auteurs : | Kailash Awati, Auteur ; Alexander Scriven, Auteur | | Editeur : | CRC Press | | Année de publication : | 2023 | | Collection : | Data science series | | Importance : | 204 p. | | Format : | 23 cm. | | ISBN/ISSN/EAN : | 978-1-03-219632-9 | | Langues : | Anglais | | Mots-clés : | Data science | | Résumé : | This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements.
The book blends academic research on organisational change and data science processes with real-world stories from experienced data analytics leaders, focusing on the practical aspects of setting up a data capability. In addition to a detailed coverage of capability, culture, and technology choices, a unique feature of the book is its treatment of emerging issues such as data ethics and algorithmic fairness. |
Data science and analytics strategy : an emergent design approach [texte imprimé] / Kailash Awati, Auteur ; Alexander Scriven, Auteur . - USA : CRC Press, 2023 . - 204 p. ; 23 cm.. - ( Data science series) . ISBN : 978-1-03-219632-9 Langues : Anglais | Mots-clés : | Data science | | Résumé : | This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements.
The book blends academic research on organisational change and data science processes with real-world stories from experienced data analytics leaders, focusing on the practical aspects of setting up a data capability. In addition to a detailed coverage of capability, culture, and technology choices, a unique feature of the book is its treatment of emerging issues such as data ethics and algorithmic fairness. |
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