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Data Governance

Publisher:苏迪Publish Time:2024-10-22View Counts:10

With the advent of the era of big data, data governance has become increasinglyimportant lts main objectives are to assist organizations in reducing risks associatedwith data, improving operational efficiency, and enhancing decision accuracy. Datagovernance encompasses various aspects such as data quality management, datastandards, data security, and data pricing. We have established the Innovation Lab forData Factor Engineering in collaboration with national laboratories and enterprises. Weengage in collaborative research and development in fields such as privacy computing.data transaction pricing, urban data collaboration, transportation data operation, andhealthcare data operation. Our goal is to establish standardized data applicationstandards, enhance data quality, and realize mechanisms for both internal and externaldata sharing.