#GraphCast: 8 Tips to Decide If Knowledge Graph Is Right for You
Blog post from Neo4j
If you're considering implementing a knowledge graph, ask yourself if your data is highly related, how often you join data and what databases you already have. You should also think about the time, money and resources required to maintain it, as well as whether your staff has the necessary expertise and if you already have graph or graph-like data. Additionally, consider downstream systems that will use graph data and how you plan to keep the data up-to-date. Understanding these factors can help determine if a knowledge graph is right for your organization.
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