Knowledge Graph Implementation: Costs and Obstacles to Consider

The research for this paper began with the objective of defining the cost side of the equation – to make a reasonable business case to executive stakeholders – on the logic of adopting a knowledge graph. The focus is on companies where quality, traceability and data flexibility are essential ingredients – because not every company is an initial candidate.

After interviewing a variety of experts and practitioners, the findings are organized into three parts:

• Organizational issues, including positioning and dealing with bureaucratic roadblocks.
• The costs of operational discovery and technology to deliver the initial use cases.
• The importance of practitioner capability for the people needed to manage the data pipeline and engineer the content.

By summarizing the key benefits, approach, barriers and needs for implementing a knowledge graph in your organization, you can make a strong case for action and set yourself up for success.