Recently, Shandong Provincial Department of Industry and Information Technology announced the list of pilot enterprises of Shandong's master data engineer system in 2022, and Shandong Tongtai Weirun Food Technology Co., Ltd. was successfully selected. Through the procedures of unit application, municipal bureau recommendation, expert review, etc., a total of 77 enterprises in the province were awarded the honor.

This declaration is to implement the requirements of Shandong Province's Implementation Plan for Promoting the Development of Industrial Big Data (2020-2022), Shandong Province's 2022 Digital Economy "Key Breakthrough" Action Plan and other documents, and promote enterprises to build a data driven production mode, management system and decision-making mode.

In recent years, Tongtai Weirun has made careful planning, intensive cultivation and down-to-earth work in terms of informatization and big data application. Through big data theory and big data cutting-edge technology, combined with the actual situation of the enterprise, Tongtai Weirun has built and transformed an intelligent factory for food additives. With COSMOPlat industrial Internet platform, it has realized intelligent design, remote operation and maintenance The whole process traceability of product quality, energy management and control optimization and other application scenarios have truly and comprehensively realized the intelligent production of food additives in the Internet factory, creating an effective way of big data application.

The first batch of pilot enterprises of chief data engineer system in Shandong Province was successfully selected this time, which is conducive to the establishment of a comprehensive and extensive enterprise data resource architecture, the improvement of enterprise data management capabilities, and the effective management and comprehensive utilization of data resources. Dig the value of data, reduce operating costs, optimize product processes, help enterprises continuously improve strategies, achieve key business objectives, and develop new businesses related to data.