Enterprise data analysis has traditionally required specialized technical skills and complex workflows. Data scientists write SQL queries, analysts create reports, and business stakeholders receive the insights. Instead, imagine if you could simply ask "What are the typical customer journeys before cancellation?" and receive a comprehensive analysis automatically? This is exactly what we'll build in this session, a multi-agent system that transforms natural language questions into sophisticated data analysis using Google's Agent Development Kit (ADK) and Teradata's powerful analytics platform. We'll demonstrate how three specialized AI agents work together: a Query Parser that understands your questions, a Data Analyst that runs complex pattern analysis using Teradata's nPath, and a Business Strategist that transforms technical findings into actionable insights. What's fascinating is that all three agents use the same Google Gemini model, showing how proper orchestration can create specialized behaviors from a single Large Language Model (LLM). In this session, we will cover: From single to multi-agent architecture - when and why to use specialized agent teams Google ADK fundamentals - orchestrating intelligent workflows with ease Teradata integration - leveraging nPath analytics for customer journey mapping Agent specialization patterns - creating expert roles through instruction design Real-world customer analytics - analyzing 35,866 retail events to uncover journey patterns Complete workflow orchestration - how agents hand off tasks and collaborate seamlessly Live demo – how you can build a Customer Journey Analytics System This session is perfect for developers, data scientists, and analysts ready to transform how they approach enterprise data analysis!