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

Presented by

Ahlem Mustapha

About this talk

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. What you will learn: 1. Introduction to graph analytics and machine learning on connected data 2. How to take your data analytics to the next level by using TigerGraph for Data operations Supply chain optimisation - Risk management with advanced analytics - Powerful what-if scenarios 3. Customer success stories

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TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, data operations, digital twin, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. This channel showcases TigerGraph's technology and how it helps organisations tap into their data to gain key insights into the business decisions and processes driving innovation, growth and cost optimisation. For more information visit www.tigergraph.com