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Graphs Thrive on Collaboration and Understanding
The effectiveness of graph modeling hinges on organizational maturity and collaboration. Established graphs can highlight areas for enhancement through suggested relations, leveraging existing internal data. However, starting from scratch necessitates the involvement of subject matter experts who understand business needs, ensuring that the graph aligns with organizational goals. Without this input, data scientists risk creating solutions in isolation, leading to inefficiencies. Therefore, iterative collaboration and foundational understanding are crucial for successful graph implementation.