Introduction
This training explores how to transform Google Analytics data into actionable business intelligence. Learn to leverage advanced tools, connect data across platforms, and derive insights that fuel strategic decision-making and growth.

Prerequisites

• Basic understanding of Google Analytics
• Familiarity with business intelligence concepts and data visualization tools
• Knowledge of KPIs and performance measurement

Table of Contents

1. Foundations of Business Intelligence with Google Analytics
1.1 What is Business Intelligence?
1.2 Role of Google Analytics in BI
1.3 Key Metrics for Business Decision-Making

2. Setting Up Analytics for BI
2.1 Aligning Analytics Goals with Business Objectives
2.2 Advanced Tagging and Event Tracking
2.3 Setting Up Custom Dimensions and Metrics

3. Data Collection and Integration
3.1 Importing Offline Data into Google Analytics
3.2 Integrating Google Analytics with CRM and ERP Systems
3.3 Connecting GA Data with Third-Party BI Tools

4. Audience Insights for Strategic Planning
4.1 Identifying Target Audience Segments
4.2 Analyzing User Behavior for Trends
4.3 Predicting Customer Lifetime Value

5. Acquisition and Campaign Analysis
5.1 Evaluating Marketing Channels and ROI
5.2 Segmenting Traffic Sources for Granular Insights
5.3 Building Acquisition Reports for Stakeholders

6. Behavior and Engagement Analysis
6.1 Analyzing Navigation Patterns and User Journeys
6.2 Optimizing Site Content for Business Goals
6.3 Using Heatmaps and Session Recordings for Deeper Insights

7. eCommerce and Revenue Insights
7.1 Leveraging Enhanced eCommerce Features
7.2 Analyzing Product and Category Performance
7.3 Building Revenue Attribution Models

8. Advanced Reporting and BI Dashboards
8.1 Creating Custom Dashboards for BI Reporting
8.2 Automating Data Reports with APIs
8.3 Designing Interactive Dashboards with Google Data Studio

9. Multi-Channel Funnels and Attribution Models
9.1 Analyzing Customer Journey Touchpoints
9.2 Applying Data-Driven Attribution Models
9.3 Using Funnel Reports for Conversion Optimization

10. Predictive Analytics and Trend Analysis
10.1 Leveraging Google Analytics Intelligence for Forecasting
10.2 Applying Predictive Models to Identify Opportunities
10.3 Using Regression Analysis for Data Trends

11. Connecting Google Analytics with BigQuery
11.1 Overview of Google BigQuery Integration
11.2 Querying Google Analytics Data with SQL
11.3 Scaling BI Insights with Large Datasets

12. Data Visualization for Business Intelligence
12.1 Designing BI-Driven Data Visualizations
12.2 Highlighting Key Insights in Reports
12.3 Storytelling with Data for Impactful Presentations

13. Privacy and Compliance in BI Analytics
13.1 Managing Data Compliance with GDPR and CCPA
13.2 Ensuring Secure Data Sharing Practices
13.3 Configuring Analytics for User Privacy

14. BI Use Cases and Success Stories
14.1 Real-World Examples of Data-Driven Decisions
14.2 Industry-Specific Applications of Google Analytics BI
14.3 Lessons Learned from BI Implementation

Conclusion
This training bridges the gap between Google Analytics and business intelligence, empowering participants to turn raw data into actionable insights. Gain the skills to support strategic planning, optimize performance, and drive impactful business outcomes.