#GraphCast: 8 Tips to Decide If Knowledge Graph Is Right for You

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.

Last time, our Managing Editor, Deb Cameron, revealed how graphs tackle complex problems.

Catch this week's GraphCast: 8 tips to help you decide if knowledge graph is right for you.

This week, I want to share with you some tips to help you determine whether knowledge graph is right for you – from Ashleigh Faith’s amazing Knowledge Graph Playlist.

Ashleigh walks you through eight questions that you need to ask yourself before hopping on the knowledge graph trend:

    • Do you have highly related data?
    • How often do you join data?
    • How much time/money/resources do you use doing it?
    • What databases and data structures do you already have?
    • How much does your staff know about graphs?
    • Do you already have graph or graph-like data?
    • Do you have any downstream systems that will use graph data?
    • How will you maintain the data?

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