Summary and sharing of Google data analysis methods
2024-09-09 10:03:32 141 0 Report 0
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Outline/Content
Overview of Google Analytics Data Analysis Tools
Introduction to Google Analytics
Account Settings and Permission Management
Multi-account and multi-attribute management
Data Collection and Tracking Settings
Event Tracking and Custom Dimensions
Google Data Studio application
Data source connection and data import
Real-time data update settings
Dashboard Design and Sharing
Interactive charts and filter applications
Data Analysis Process and Strategy
Data Collection and Preprocessing
Clarify the analysis objectives and data sources
Business objectives alignment
Data Cleaning and Integration
Outlier handling
Methods and Skills of Data Analysis
Trend Analysis and Forecasting
Seasonal adjustment and trend line fitting
User behavior analysis
User Path and Conversion Funnel
Data Visualization and Reporting
Chart Selection and Layout Optimization
Color and font combination
Report Writing and Interpretation
Conclusion and action suggestions
Data-driven decision making and optimization
Data-driven Business Insights
User portrait construction
Segmented Market Analysis
Product Optimization and Iteration
A/B Test Design and Implementation
Experimental hypothesis and variable control
Adjustment of marketing strategy
SEO Optimization and Keyword Analysis
Competitor Monitoring and Strategy Adjustment
Data Security and Compliance
Data Privacy Protection
GDPR and CCPA compliance requirements
User data desensitization processing
Data Backup and Recovery
Regular Data Backup Schedule
Data recovery drills and contingency plans
Collect
Collect
Collect
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