Putting graph analytics at the heart of your data operations and supply chain

A digital twin of your data operations and supply chain looks like a network and should be directly represented as a network. Graph databases are specifically designed to do this.

A graph-powered digital twin allows you to connect all internal and external data components into a digital network that models data lineage and dependency and then facilitates rapid root cause analysis to inform decisions. With TigerGraph, you get network-wide analytics and real-time capabilities, so operations and strategic planning are all working from exactly the same model. This enables continuous evolution without ever losing control and with an entirely data-driven basis for prioritization and execution.
As a result, TigerGraph helps in providing valuable insights leading to faster and smarter decision-making and great customer-centricity. 

Content:

• Introduction to graph analytics and machine learning on connected data 
  
• Data operations
• Supply chain optimization
  • Risk management with advanced analytics
  • Powerful what-if scenarios
• Q&A 

Speaker:

Aaron Regis, Pre-Sales Engineer, TigerGraph