The Three Worlds of Analytics

Analytics routinely crosses three distinct worlds: the Business World of domain meaning, the Data World of governed data identity and law, and the Material Data World of representation, storage, mutation, and computation. The distinction matters because each world contains different objects, supports different operations, and carries different forms of authority. The paper argues that the Data World is not reducible either to the business world it describes or to the material forms that carry it. A data object may have governed identity and law before any table stores its values, while material records may exist without establishing the identity, population, support, or lawful derivation of the data object they realize. This gives the Data World an independent ontological and governance jurisdiction. From that distinction follow two unavoidable crossings in analytics: Business World ⇄ Data World and Data World ⇄ Material Data World. The paper relates these crossings to the intent and servability problems of Analytical Governance, develops the 47/48/50 open-store example, and shows how governance becomes confused when authority from one world silently answers a question belonging to another. The argument is architecture-independent: any analytical architecture may take advantage of the structure; no particular architecture owns the distinction.