Businesses are facing a relentless increase in the volume, variety, and velocity of data coming at them from many different channels. Hidden within these data are insights that can accelerate growth by positively influencing the buying journey of customers. Current approaches to identifying and leveraging the connections in the available data, however, are limited and many marketing organizations are losing out on revenue opportunities.
Existing solutions are too slow or simply too limited, focused on just part of the data, unable to deliver actionable insights from the massive amounts of information being collected. Native parallel graphs, such as TigerGraph, are built to understand, explore and analyze the complex relationships in the customer data, allowing data scientists and business users, to go 10 or more levels deep into the data, across all of the touchpoints, in real-time.