Enterprises typically have many data silos of partial customer data and a common theme in big data projects to use big data tools and pipelines to unify all siloed customer data into a single, queryable, platform for improving all future customer interactions. This data often comes from billing, website traffic, logistics, and marketing; all in different formats with different properties. Graph provides a way to unify all of the data into a single place for use in tracking the flow of a user through the various silos. Graph can also be used for visualizations and analytics that are difficult in other systems.
In this talk we will explore the ways in which Graph can be leveraged in a customer 360 use case. What it can add to a more conventional system and what the approach to developing a graph based Customer 360 system should be.