Supply Chain Network Analytics with Knowledge Graphs

We started with a list of a company's Suppliers and the products they purchase.

A financial risk analyst conducted due diligence research and developed a risk profile for each Supplier. For this demo,  Rebirth Analytics  provided the risk profile content.

We used the ArcGIS World Geocoding Service to map the supplier network. We also added data from authoritative map layers, like world shipping ports, global shipping routes, and weather events.

We combined the raw data, financial risk research, and location data by building a knowledge graph of the supplier network. Each Supplier entity is connected to the Goods it imports, the other (sub-tier) Suppliers it relies on, and the Ports or other infrastructure it uses to fulfill orders. At this point, the links between entities are stored as relationships in the underlying enterprise graph database. Now the data is stored the way it is in the real world: connected.

Multiple users collaborated to build and analyze this data. In ArcGIS, knowledge graphs are enterprise assets, so we were all able to work together in near-real time.

We answered many different questions by applying various graph and spatial analytic tools. All of the demonstrations in this Story Map use the same knowledge graph.

We built informative, interactive, and beautiful maps, link charts, reports, and apps to communicate the key take-aways to the end-users.

The knowledge graph is a living thing that we can continue to enhance with new entities and relationships. Now that we've identified the patterns we are looking for in the connected data, ArcGIS Knowledge will automatically reveal new matches if new data is added that completes a pattern.