Multi-dimensional Data Analysis
Identify key players' behaviors
Interpret metrics from different dimensions to help the operation team efficiently dismantle operational problems
No-code data analysis with pre-built models
- Event
- Retention
- Funnel
- Distribution
- Flows
Monitor the core metrics of the game in real-time and observe the payment trend of player behavior; drill down according to different dimensions to observe the user situation by channel and platform.
- SQL IDE
- User Property Analysis
- Segmentations
- Tags
- Interval
Multi-dimensional data analysis
Cross Dimension AnalysisSupport multi-dimensional grouping of any analysis index to mine data results under different dimension combinations
Date ComparisonUnderstand the trend changes of specific metrics by comparing data on cyclical events in different periods
User Property AnalysisSupport cross-analysis under different attributes of users to grasp more detailed population distribution
SQL VisualizationSQL Custom Analytics supports Multi-dimensional tables to meet the pivotal requirements of personalized scenarios
No need to understand SQL, everyone is a data analyst
Cross Dimension AnalysisSupport multi-dimensional grouping of any analysis index to mine data results under different dimension combinations
Date ComparisonUnderstand the trend changes of specific metrics by comparing data on cyclical events in different periods
User Property AnalysisSupport cross-analysis under different attributes of users to grasp more detailed population distribution
SQL VisualizationSQL Custom Analytics supports Multi-dimensional tables to meet the pivotal requirements of personalized scenarios
Drill down player data deeply, full link tracking
For the essential or general metrics in the analysis scenario, the deep drilling of a particular data result can be targeted to obtain more detailed data, restore the user's data link, realize more fine-grained data analysis, and achieve the purpose of optimizing decision-making.
