Data Science and Analytics Strategy

Kailash Awati|Alexander Scriven (University Technology of Sydney, Australia)

ISBN 10: 1032196327 / ISBN 13: 9781032196329

Verlag: CRC Press, 2023

Beschreibung

Kailash Awati is a data and sensemaking professional with a deep interest in helping organisations tackle complex problems. He is an Adjunct Fellow in Human-Centred Data Science at the UTS Connected Intelligence Centre and a Data and Ins.

Bestandsnummer des Verkäufers 755996809

Bibliografische Details

• Titel: Data Science and Analytics Strategy
• Verlag: CRC Press
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1032196327
• ISBN-13: 9781032196329
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Kailash Awati is a data and sensemaking professional with a deep interest in helping organisations tackle complex problems. He is an Adjunct Fellow in Human-Centred Data Science at the UTS Connected Intelligence Centre and a Data and Insights Manager at a government agency. Over the last decade, he has established data capabilities in diverse organisations using the principles described in this book. In addition to his work in industry, he has developed and taught postgraduate courses in machine learning and decision-making under uncertainty. He is the co-author of two well-regarded books on managing socially complex problems in organisations: The Heretic’s Guide to Best Practices and The Heretic’s Guide to Management.

Alexander Scriven is a senior data scientist at Atlassian in Sydney, Australia, and has experience across start-ups, government, and enterprise building analytical capacities and executing on data science projects. He greatly enjoys teaching and mentoring and has built and delivered both master’s-level university courses in machine learning and deep learning and highly rated courses for online platforms such as Datacamp. His research interests are in applying data science techniques to novel industry challenges. Alex greatly enjoys bridging the gap between cutting-edge technology and business applications.