This book covers how data can be used to develop and improve video games from multiple aspects, based on the author’s extensive experience working in the video game industry for over 16 years.
The book is a comprehensive tool for learning about data of various types, including analytics, research, and financial. It details a journey of building up from zero data maturity to full data maturity, covering both analytics and UX research departments, using case studies from real life scenarios. By the end of this book, readers will have a better understanding about gathering and analysing data, then presenting actionable insights that lead to a better game and a better player experience.
This book will be ideal for any aspiring or existing games industry professional looking to understand how to use data to build better games.
Table of Contents:
Chapter 1: The importance of using data in game development
Chapter 2: Historical examples of using data to solve problems
Chapter 3: Decision-making without (or against) data
Chapter 4: Gathering or using data with minimal resources
Chapter 5: Bad data examples and consequences
Chapter 6: Introduction to Analytics
Chapter 7: Analytics Methodology Examples
Chapter 8: Introduction to UX Research
Chapter 9: UX Research Methodology
Chapter 10: UX Research Case Studies
Chapter 11: Case Studies of using analytics and UX research data together
Chapter 12: Conclusion: On AI and how to prepare for using data in game development
About the Author :
Nicklaus Goh has been working with data in the video game industry for over 16 years, at Creative Assembly, Sega, and King (Microsoft). He has contributed to dozens of video games, spanning genres like strategy, Match3, simulation, first-person shooters, horror, CCGs (collectible card games), MOBAs (multiplayer online battle arena), racing, and puzzle games. He helped build up an analytics department and then subsequently started and built up his own UX research department.
