The term „enterprise-wide knowledge graphs“ is primarily found in the fields of digital transformation, big data and smart data, as well as artificial intelligence.
Company-wide knowledge graphs are digital networks that clearly link information and knowledge within a company. You can think of a knowledge graph like a very intelligent map, on which all important data, processes, and relationships between employees, projects, and customers are depicted. The aim is to make information easier to find and use.
A simple example: In a large company, teams often work at different locations. It is often unclear what knowledge or information already exists. A company-wide knowledge graph helps to link existing data. If someone is looking for experts on the topic of „sustainability,“ the knowledge graph immediately finds employees, projects, documents, and client contacts related to this topic. This way, knowledge and experience are not lost and can be specifically used for new tasks.
This saves companies a great deal of time, avoids duplicate work and promotes collaboration between teams. Enterprise-wide knowledge graphs are therefore an important building block for successful knowledge management in modern companies.
Deutsch 
English (UK)