Breaking through the psychological barriers to entry is the key to making any data management initiative a success.
This is especially true when seeking to adopt semantic standards to implement a knowledge graph within your organization. The truth is that the implementation of a knowledge graph is a collaborative process that requires cooperation at scale across both operational and functional boundaries. But it’s hard to get people to cooperate with the ‘culture of competition’ that seems to exist in many companies.
In this research, Ontotext examines some of the key obstacles preventing companies from implementing knowledge graphs after interviewing a variety of experts and data practitioners.
Download this whitepaper as Ontotext explores:
- Organizational issues and dealing with bureaucratic roadblocks
- The costs of operational discovery and technology
- The importance of practitioner capability for managing the data pipeline
