Building a Customer-Intelligence Brain: How GraphRAG Turns Qualitative Data into Decisions

Session Track: Graph + AI in Production

Session Time: 10:30 am - 11:00 am April 15

Session description

Organizations generate qualitative customer data—interviews, focus groups, feedback – but most of it remains unstructured, unused, and effectively invisible to decision-makers.

In this session, Eckhart Boehme will demonstrate how transforming this data into a Neo4j-powered Customer-Intelligence unlocks an entirely new class of analytical and generative capabilities for business, product, and experience teams.

He will share the practical journey of building such a system for the Experience Management Global Collaborative (XMGC), where nine interviews were converted into a highly structured graph using the 12 Elements of Customer Progress Design.

Attendees will learn how the data model was engineered, how queries reveal hidden relationships, and how Neo4j’s emerging GraphRAG and AI Agent ecosystem enables automated generation of insights, strategies, customer segments, value propositions, and product ideas.

You will walk away understanding:

• Why qualitative data becomes dramatically more useful when modeled as a knowledge graph
• How graph structure reveals hidden patterns, pains, outcomes, and causal relationships
• How GraphRAG retrieval improves reasoning and replaces guesswork with evidence
• How AI Agents can turn your graph into an “always-on customer-intelligence system”

Whether you work in development, data science, product, AI engineering, or customer experience, this session will show how Neo4j can power the next generation of customer understanding and decision automation.