Getting Started with Dataiku: Build Your First AI Project

Fan engagement is critical in sports—but turning raw survey data into useful insights can be tough. Teams collect a wide range of feedback: ratings for food and overall experience, opinions on game-day promotions, and open-text comments that are hard to analyze at scale. Without the right tools, important trends get lost in the noise.

In this 1-hour webinar, "Getting Started with Dataiku: Build Your First AI Project," we’ll show you how to build a complete analytics workflow in Dataiku using real-world sports data. You'll learn how to:

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• Import and explore survey and game-day data
• Clean and join datasets using visual recipes
• Use Group and Filter recipes to spot key patterns
• Apply LLM-powered recipes to summarize open-text feedback
• Segment fans with clustering to identify key audience groups
• Build a simple dashboard to share insights clearly

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Whether you’re new to Dataiku or just starting with AI, this session will give you the tools to launch your first project—with a focus on practical steps and real outcomes.

Join us to see how Dataiku makes it easy to turn any data into clear insights that drive smarter fan engagement.