This guide shares 11 best practices for building a Fan 360 using data science. Key steps include defining goals, leveraging cloud platforms, prioritizing data security, and using data clean rooms for secure collaboration. It advises enriching first-party data with third-party sources and avoiding vague semantics through data dictionaries. Success depends on strong data ingestion tools, rigorous model validation, effective segmentation, and clear visualizations. Predictive analytics helps anticipate behavior and optimize engagement. Following these practices enables sports and gaming companies to deepen fan insights, personalize experiences, and boost revenue.

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