Sharing economy takes sharing and cooperation as the core concept, and with the development of information technology, it has a positive impact on individual needs and social interests. Through the reorganization of potential cultural resources and the application of cutting-edge network technologies, efficient and high-quality supply and demand matching is realized, and large-scale application is promoted. Combined with big data analysis and matching and integration of local resources and under the support of new forms, new products and new services, the work aims to promote the sustainable development of cultural tourism, and facilitate the process of transforming the real economy into digitalization. Through the data visualization system weight analysis, the relevant design array data model was used for quantitative research and the selection reason and weight of shared derivative development indexes were analyzed from the economy, culture, government, enterprise and individual society, to intuitively guide the creative optimization of service derivatives in cultural and tourism shared derivatives, and promote the transformation and upgrading of economic structure and the spread and development of culture. Based on the conclusion of data analysis, the correlation between sharing and derivatives was analyzed and the expression of creative optimization connotation of cultural and tourism shared derivatives in national traditional culture was summarized. The perspective of sharing economy is not only the sharing and transmission of information, but also the cultural experience and personal communication. It provides travelers with the opportunity to save travel costs, reduce the use of social resources and accelerate the recovery of idle resources in society, and is one of the key means to promote the digital transformation of the real economy.