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 has
been written for professionals who are looking to build data science and
analytics capabilities within their organisations as well as those who
wish to expand their knowledge and advance their careers in the data
space. Providing deep insights into the intersection between data
science and business, this guide will help professionals understand how
to help their organisations reap the benefits offered by data. Most
importantly, readers will learn how to build a fit-for-purpose data
science capability in a manner that avoids the most common pitfalls.
