Making Meaning: How Experience Design Supports Data Commercialization

The work aims to analyze the different stages of data commercialization and explore the research paradigm of making meaning through the experience process. Based on the cases of data-driven products, a classification study was conducted through induction and summary, and the characteristics of four stages of data commercialization was illustrated. In the era of big data, data is not just about extra output or subsidiary force or core competency, but raw materials in the process of commercialization, which is an inevitable trend. The goal of data commercialization is to make meaning by the way of experience design. At different stages of data commercialization, the methods of experience design have to adjust as consumers’ demands for meaning are various. With the development of internet technology, the correlation and connection between people’s daily life and data will be strengthened unconsciously, and the appeal to meaningful experience of data products will become more common. When data is treated as a kind of raw material in the fourth stage of data, the mode of experience design is: data infrastructure as theater, data-driven services or products as the stage, data as props, and engaging data consumers as actors in a way that creates some memorable and meaningful events.