Our internal data is spread across multiple tools and teams, and much of it isn’t consistently structured. Can a Knowledge Graph still work in an environment like this?
Our internal data is spread across multiple tools and teams, and much of it isn’t consistently structured. Can a Knowledge Graph still work in an environment like this?
A Knowledge Graph can work, but only after significant cleanup and normalization. Inconsistencies in terminology or ownership will directly affect retrieval quality. The graph will reflect the state of your data, for better or worse.
This is where governance becomes critical. Without clear ownership and maintenance processes, the graph can quickly become outdated or fragmented, reducing its effectiveness.