Abstract

Predictive analysis is an important but underutilised skill in product for product managers and software developers. The product's success is hinged on proper analytics that aid product and business intelligence.

We can achieve this by leveraging Google Analytics 4 (GA4) and BigQuery. In this concise session, we'll explore how to integrate GA4 with BigQuery, build predictive models using BigQuery ML, and turn data insights into actionable strategies for product management. Attendees will gain practical knowledge on optimising product performance through data-driven decisions.

Workshop Overview

This session will provide a focused guide on using GA4 and BigQuery for predictive analytics in product management. Participants will learn how to set up GA4 and BigQuery integration, prepare data, and create predictive models using BigQuery ML. We will cover the essentials of translating model results into actionable product strategies, highlighting real-world applications and best practices.

Key Takeaways:

- GA4 and BigQuery Integration: Learn to integrate GA4 with BigQuery seamlessly.
- Building Predictive Models: Understand the basics of creating predictive models using BigQuery ML.
- Actionable Insights: Discover how to apply predictive analytics to enhance product management and, invariably, product growth & success.

Tools:

- Google Analytics 4 (GA4)
- Google BigQuery
- BigQuery ML

Target Audience:

- Product Managers
- Data Analysts
- Software Developers
- Technical Project Managers
- Business Intelligence Professionals

Session Format:

- Introduction and Overview of Predictive Analytics (2 minutes)
- GA4 and BigQuery Integration Basics (3 minutes)
- Building a Simple Predictive Model (5 minutes)
- Applying Predictive Insights in Product Management (3 minutes)
- Q&A (2 minutes)