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This paper first analyzes the six data dilemmas that enterprises will encounter in the process of data construction at present, then focuses on the label category system, a data asset construction methodology and its positioning and definition, which has been gradually developed to cope with these data dilemmas, and finally expounds the three necessities of using this method to build data assets: asset reusability, business understandability, and value measurability.

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