In data analytics, _____ describes how well two or more datasets are able to work together.

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Compatibility describes how well two or more datasets can work together in data analytics. When datasets share matching formats, data types, field names, and coding schemes, they can be joined and analyzed without extensive cleaning, enabling seamless merging, consistent results, and efficient cross-source analysis. Interoperability is broader, focusing on the ability of different systems to exchange and use information, which goes beyond just the data itself. Harmonization involves standardizing definitions and units across datasets, aiding alignment but not capturing the full idea of datasets actually working together. Scalability deals with handling growing data volumes or users, not with data collaboration. So, compatibility is the best fit for describing how well datasets can be used together.