Graph-Based Customer Journey Analytics with Neo4j

Presented by

Jesús Barrasa, Neo4j

About this talk

Today's customers use a combination of channels to interact with a business. Customer Journey Analytics (CJA) is the process of tracking and analyzing every touchpoint that a customer interacts with, across multiple channels and over time. This requires connecting events from multiple sources into customer-centric journeys. Both "connected data points" and "journey analysis" immediately suggest graphs but if we add the need for timeliness (even real-time) and actionable insights there is no doubt about the right technical solution. Find out how to use Neo4j to understand, visualise and influence your customers' journeys, whether that's in the form of recommendations, cause analysis or personalisation to name just a few. In this webinar, Jesús will briefly introduce Graph Databases and then show how can they crucially enhance CJA initiatives with a Telco based example.

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Today’s businesses need to generate real-time, valuable insights from their existing data. In this case, the relationships between data points matter more than the individual points themselves. Industry leads are turning to graph databases which treat those valuable relationships (connections) as first-class entities. Neo4j is the world's leading graph database, with native graph storage and processing.