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Kailash Awati,AlexanderScriven

Data Science and Analytics Strategy: An Emergent Design Approach

Data Science and Analytics Strategy: An Emergent Design Approach

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  • More about Data Science and Analytics Strategy: An Emergent Design Approach


This book provides actionable advice on data technologies, processes, and governance structures to establish data science and analytics capabilities in organizations using Emergent Design, an evolutionary approach that maximizes successful outcomes while minimizing upfront investment. It combines academic research on organizational 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. Additionally, it addresses emerging issues such as data ethics and algorithmic fairness, and is written for professionals who are looking to build data science and analytics capabilities or advance their careers in the data space.

Format: Paperback / softback
Length: 230 pages
Publication date: 05 April 2023
Publisher: Taylor & Francis Ltd


This comprehensive book offers a revolutionary approach to establishing data science and analytics capabilities within organizations through the application of Emergent Design, an evolutionary methodology that maximizes successful outcomes while minimizing upfront investment. Drawing from the collective experiences of esteemed data leaders and academic research on organizational change and data science processes, the authors provide actionable advice on data technologies, processes, and governance structures, enabling readers to make informed choices tailored to their specific organizational contexts and requirements.

The book seamlessly blends theoretical insights with real-world anecdotes from seasoned data analytics experts, emphasizing the practical aspects of building a data capability. It delves into a comprehensive range of topics, including capability development, cultural considerations, and technology choices. Additionally, the book addresses emerging issues such as data ethics and algorithmic fairness, providing valuable perspectives and solutions for today's data-driven world.

Designed for professionals seeking to enhance their data science and analytics skills, as well as those aspiring to advance their careers in the data field, Data Science and Analytics Strategy: An Emergent Design Approach offers deep insights into the intersection between data science and business. It equips readers with the knowledge and tools necessary to help their organizations unlock the full potential of data, enabling them to make data-driven decisions and achieve sustainable competitive advantage.

By avoiding common pitfalls and adopting a fit-for-purpose approach, this book empowers professionals to build a robust data science capability that drives innovation, enhances decision-making, and propels organizational growth. Whether you are a seasoned data professional or just starting your journey, this comprehensive guide will be your invaluable companion on the path to data excellence.

Weight: 350g
Dimension: 155 x 234 x 15 (mm)
ISBN-13: 9781032196329

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