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.
He combines over 15 years of profesional experience in consulting in the Information Management space. Prior to joining Neo Technology, Jesús worked at Ontology (now EXFO) for seven years, where he got first hand experience with large graph DB deployments in many successful projects for major Telecommunications companies all over the world.
Jesús holds a Ph.D. in Computing Science from the Technical University of Madrid, where he carried out his research on graph data modelling and Semantic Technologies.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.