Part 1: Fundamentals of Data Applications

Chapter 1: Fundamentals of Game Data Applications
- Development direction of game data utilization
-Using Data Effectively: Principles, Methods, and Tools
-principle
-method
-equipment
-organize

Part 2: Practical Game Business Scenarios

Chapter 2: New User Analysis
1.
New User Analysis Process
-1.
Data integrity
-2.
Data linkage
-3.
Selecting conversion funnel stages
-4.
New User Behavior Analysis
-5.
Determining the drop-off point of new users
2.
Progress of new user analysis
-1.
Integrated short-term and mid- to long-term behavioral analysis
-2.
Expand the scope of analysis with diverse data records
-3.
Timeliness - Analysis must enable rapid improvement and iterative verification.
3.
Common Mistakes in New User Analysis
-1.
Over-reliance on quantitative data and neglect of the game content itself.
-2.
Neglect of recording client logs (events) during game entry
-3.
Obsessed with short-term indicators and neglecting long-term experience
-4.
New user statistics criteria
5.
organize

Chapter 3 Retention Analysis
1.
Analyzing Retention Data from a Business Perspective
-1.
Defining Retention Analysis from a Business Perspective
-2.
Retention Analysis Using Business Thinking
2.
Practical application plan
3.
How to Improve Retention Data
4.
The importance of statistical criteria
-1.
User identification criteria and rules
-2.
When calculating retention data, define "first action" and "core return action."
-3.
Processing user time zones and retention measurement intervals
5.
organize

Chapter 4: Attrition Analysis
1.
How to Define a Churned User
-1.
Definition of a churn user
-2.
Extraction of lapsed users
2.
How to Spot User Churn Signals
-1.
Retention curve
-2.
Analysis of churn user behavior characteristics
3.
How to bring back lapsed users
-1.
Should all lapsed users be considered for reinstatement?
-2.
How to bring back lapsed users
4.
organize

Chapter 5 Payment Analysis
1.
Motivation for payment behavior
-1.
The value users receive through payment
-2.
The value that game developers/operators gain from paid content
2.
When does value exchange occur in the game?
-1.
Early game
-2.
mid-game
-3.
Late game
3.
How should payment analysis be conducted?
-1.
Setting the user observation period
-2.
Observe the user's pre-payment behavior conversion process.
-3.
Analyze whether the value obtained through payment meets user expectations.
4.
How can we determine changes in payment willingness?
5.
Another Aspect of Payment Optimization
6.
organize

Chapter 6 Activity Analysis
1.
Activity analysis in a narrow sense
-1.
Definition, characteristics, and implementation basis of key activation indicators
-2.
Designing an activity indicator that reflects the characteristics of our game
2.
Comprehensive activity analysis
3.
Establish customized operational strategies for each active user group
4.
Common errors in activity analysis
-1.
Overreliance on quantitative indicators
-2.
Overreaction to short-term changes
-3.
Neglect of continuous monitoring and adjustment of activity indicators
-4.
Lack of user segmentation and personalization
5.
organize

Chapter 7: Analysis of Global Expansion Games
1.
How should you begin analyzing a game that is going global?
-1.
Setting business goals
-2.
Identifying key tasks
-3.
Breaking down the problem-solving process
-4.
Perform analysis
-5.
Improvement and iteration
2.
Considerations When Analyzing Game Data for Global Expansion
-1.
Game content and local user cultural habits suitability and game localization
-2.
Various currencies and payment systems
-3.
Data Compliance Issues by Country
-4.
Differences in user behavior
3.
organize

Part 3: Game Genre Analysis Scenarios

Chapter 8: Analysis of Representative Scenarios in MMO Games
1. MMO Game Overview
2. Key Analysis Scenarios for MMO Games
-1.
Rolling Server Ecosystem Analysis
-2.
Analysis of breeding route selection and play guidance
-3.
Analysis of the game economy system through exchanges

Chapter 9: Analysis of Representative Scenarios in SLG Games
1.
Strategy Survival SLG Game Overview
2.
Representative analysis scenarios for strategic survival SLG games
-1.
Expedition and Battle Analysis (eXterminate: Conquest)
-2.
Territorial Expansion and Conflict (eXpand: Expansion and Development)
-3.
Resource Supply and Circulation (eXploit: Management and Development)
-3.2 Setting common event properties

Analysis of representative scenarios in the 10-card game
1.
Card RPG Game Overview
2.
Analysis of representative scenarios in card RPG games
-1.
Lottery Analysis
-2.
Card cultivation
-3.
Story & Main Quest/Chapter

Chapter 11: Analysis of Representative Casual Game Scenarios
1.
Casual Game Overview
2.
Representative analysis cases of casual games
-1.
Stage Analysis: Efficient Data Extraction Focused on Key Indicators
-2.
Analysis of Roguelike Elements
-3.
Analysis of Payment Entry (First Payment) in the Casual Shooter Genre

Chapter 12: Analysis of Representative Scenarios in Management Simulation Games
1.
Management Simulation Game Overview
2.
Representative analytical perspectives of management simulation games
-1.
Simulation accessibility
-2.
Management bottleneck
-3.
Resource characteristics of management simulation games
-4.
Mid-game abandonment of a management simulation game

Part 4: Guidelines for Building a Game Data Platform

Chapter 13: Designing and Building a Data Platform
1.
How to improve data quality
-1.1 Quality control during data collection phase
-1.2 Building a data gateway with efficiency, reliability, and scalability.
-1.3 Building a data processing engine with real-time performance and flexibility
-1.4 Lakehouse-based data storage framework
-1.6 Summary
2.
How to Solve the Data Silo Problem
-2.1 Easy and efficient data integration tool
-2.2 Unified and clear data linkage standards
-2.3 Open and convergent platform architecture
-2.4 Agile and Fast Data Flywheel
-2.5 Summary
3.
How to effectively respond to business needs
-3.1 Abstraction and Packaged Data Model
-3.2 Self-service analysis tool
-3.3 Scalable System Capabilities
-3.4 Intelligent AI assistant function
-3.5 Summary
4.
Building a data platform that realizes 'cost reduction and efficiency improvement'
-4.1 Storage and Computation Separation Architecture
-4.2 Cloud-based scalable storage
-4.3 Cloud-based scalable computing
-4.4 Summary
5.
How to address 'security and compliance' issues
-5.1 Data Security Enhancement Measures
-5.2 How to comply with laws related to data collection
-5.3 Data Privacy Protection Strategy for Overseas Services
-5.4 Summary
6.
Building a Future-Oriented Game Data Platform

The current gaming market is in a fiercely competitive environment, to the point where it is called a 'data war.'
New games are released every day, and users' expectations are higher than ever.
It is no longer possible to guarantee survival by relying solely on past success formulas or 'feelings' for decision-making.
Now is the time to understand user behavior based on data and increase the probability of strategic success through objective evidence.

This book contains the essence of data analysis and operations accumulated from numerous successful cases.
While many books focus on analytical theory or how to use tools, this book presents a systematic framework of "principles," "methods," and "tools," and talks about the essential way to approach data.

Beginning with a philosophical approach to why you should look at data, this structure encompasses specific practical analysis methodologies for retention, churn, and payments, as well as tools to efficiently implement them. This structure will connect previously scattered knowledge and create a solid framework for data analysis.

Finally, rather than simply reading this book sequentially like a textbook, I recommend that you first identify a problem you're currently facing in your field and open the corresponding chapter.