How to Explore SAP Sample Data in Neo4j – Graph for ERP Part 2
Blog post from Neo4j
The article aims to provide a step-by-step guide on using Neo4j graph database for data exploration and analysis in Enterprise Resource Planning (ERP) systems, specifically SAP. It highlights the challenges of extracting data from SAP and provides a comprehensive guide on how to load sample SAP entities into a Neo4j graph database. The author uses Neo4j AuraDB Professional, deployed from the Google Cloud Marketplace, as an example. Once the data is loaded, users can analyze and explore relationships between entities using Neo4j's built-in tools such as Neo4j Bloom for visualization and graph data science algorithms. By leveraging these features, businesses can gain valuable insights into their product lines, business partners, and locations to optimize supply chain management and provide better customer service. The guide also covers how to apply AI/ML algorithms in Neo4j Graph Data Science to solve complex use cases like fraud detection and analytics.