Abstract: Based on the data of Sany Heavy Industry and through analyzing its industrial big data application in the process of servicing transformation, the dimensions of industrial big data and the enterprise value creation system based on multi-dimensional industrial big data are put forward by using the grounded theory. Research shows that around the value chain links of R&D, manufacturing, production, logistics and marketing,enterprises can divide industrial big data into eight dimensions: data source, time, location, standard, personnel, product, environment and order. Driven by the demand for servicing, enterprises collect and analyze industrial big data, build a servicing path for manufacturing industry that includes data visualization, value chain extension, industrial integration and network collaboration, and create four levels of value, including information value, transformation value, strategic value and transaction value. Through the collection of industrial big data in eight dimensions, an analytical framework is proposed for service-oriented value creation in the manufacturing industry.

Key words:  industrial big data, dimension, grounded theory, value creation