Enterprise Knowledge Graphs (EKGs) have been on the rise and are incredibly valuable tools for harmonizing internal and external data relevant to an organization to improve operational efficiency for the enterprise and competitive advantage for the business units. On the other hand, EKGs can be difficult to develop and sustain, suffer from scalability issues, and can be difficult for business units to consume. This article describes some of these challenges and how a flexible data representation of a native multi-model database can address them (see Figure 1). 

Figure 1: The Multi-model knowledge graph blends multiple data representations in one system.

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