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.
TigerGraph is the only system today that can help us make real-time care-path recommendations using knowledge of 50 million patients. Your products will have worldwide impact on making everyone’s lives better in more ways than you can imagine.
TigerGraph is the only scalable graph database for the enterprise. TigerGraph’s proven technology connects data silos for deeper, wider and operational analytics at scale. Four out of the top five global banks use TigerGraph for real-time fraud detection. Over 50 million patients receive care path recommendations to assist them on their wellness journey. 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. The energy infrastructure for 1 billion people is optimized by TigerGraph for reducing power outages. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI, and machine learning.