Currently power (energy) systems are undergoing digitalization, and the development of the power internet of things has entered a new stage. A large number of sensing devices and smart terminals are connected to the power internet of things, and a large amount of data are generated and accumulated inside and outside the power systems. The electricity consumption data have great value and reflect social and economic information. For electricity consumption data, the power internet of things has a variety of business models. This paper introduces the triple meanings of the power internet of things, explains the socioeconomic information embedded in various power consumption data according to their sources, discusses the theories and techniques of information/data fusion, points out the key problems and specific business models of data-driven services, and finally analyzes the challenges faced by data services of the power internet of things. This work is supported by Key Program of National Natural Science Foundation of China (No. 51937005).