Game Data Analysis – Tools and Methods

Probably the best book available on the overlooked art of game data analysis, this tutorial will help you improve your products by utilizing the right tools and techniques. Written by a dedicated professional in the field.

Game Data Analysis – Tools and Methods

Coupart Thibault

1 customer reviews
Probably the best book available on the overlooked art of game data analysis, this tutorial will help you improve your products by utilizing the right tools and techniques. Written by a dedicated professional in the field.
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Book Details

ISBN 139781849697903
Paperback86 pages

Book Description

Publishing video games online has been gaining in popularity for a number of years, but with the advent of social networks and the use of in-game data analysis recently, its potential profitability has skyrocketed. The power of video game analytics is immensely beneficial if done well; it can provide a lot of information with a high level of relevancy.

Game Data Analysis - Tools and Methods is a practical, hands-on guide that provides you with a large overview of the choices available performing video game data analysis. From the technical aspect of the field to its implications in terms of game design, you will be able to choose the right tools for your needs.

This book looks at the most useful key performance indicators used in video games and then highlights the strengths and weaknesses of different solutions that are available in order to collect your data. The book will finally explain the kind of analysis you need to perform according the content of your game.

You will learn how to generate content through the use of data analysis with A/B testing and multivariate testing. We will also take a look at the general rules of data visualization, and we will describe some of the typical traps that you should avoid when manipulating numbers. So, if you want to acquire all the basics of game data analysis, this book is ideal for you.

Video Game Data Analysis - Tools and Methods will teach you everything you need to know in order to make the right choice when it comes to the technical solutions and methods available in the field.

Table of Contents

Chapter 1: Context and Themes in Games
The rise of game analytics
Themes in games
From themes to engagement
References
Summary
Chapter 2: Common Key Performance Indicators
Definition and framework of Key Performance Indicators
Working regularly with KPIs
Summary
Chapter 3: Environment and Tools for Data Analysis
Typical programming environment for data mining and storage
Tools available on the market for quick data mining
Commercial solutions
Tools available for analysis
Summary
Chapter 4: Game Analytics and Generation of Content
Testing
The multivariate testing
Recommendations for good practices
Case study – monetization pop up
Summary
Chapter 5: Advanced Analysis and Statistical Methods
General statistical description
Machine learning
Summary
Chapter 6: Data Visualization
Recommendations for good practices
Typical traps of data visualization
Summary
Chapter 7: Limits of Game Data Analysis
Which game analytics should be used
Summary

What You Will Learn

  • Monitor key performance indicators for game data analysis
  • Understand the issues and benefits of different types of data mining environments, such as MySQL or Hadoop
  • Explore the issues and benefits of different reporting solutions, such as Facebook Insights, Kontagent, or Honey Track
  • Avoid some of the typical traps of data analysis
  • Express important game design topics of your products through numbers and indicators
  • Generate content for your game through A/B testing

Authors

Table of Contents

Chapter 1: Context and Themes in Games
The rise of game analytics
Themes in games
From themes to engagement
References
Summary
Chapter 2: Common Key Performance Indicators
Definition and framework of Key Performance Indicators
Working regularly with KPIs
Summary
Chapter 3: Environment and Tools for Data Analysis
Typical programming environment for data mining and storage
Tools available on the market for quick data mining
Commercial solutions
Tools available for analysis
Summary
Chapter 4: Game Analytics and Generation of Content
Testing
The multivariate testing
Recommendations for good practices
Case study – monetization pop up
Summary
Chapter 5: Advanced Analysis and Statistical Methods
General statistical description
Machine learning
Summary
Chapter 6: Data Visualization
Recommendations for good practices
Typical traps of data visualization
Summary
Chapter 7: Limits of Game Data Analysis
Which game analytics should be used
Summary

Book Details

ISBN 139781849697903
Paperback86 pages
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