The data middle platform refers to the collection, calculation, storage, and processing of massive data through data technology, and at the same time, the standards and calibers are unified. After the data center unifies the data, it will form standard data, and then store it to form a big data asset layer, and then provide customers with efficient services. These services have a strong correlation with the business of the enterprise. They are unique to the enterprise and can be reused. It is the precipitation of enterprise business and data. It can not only reduce repeated construction and reduce the cost of chimney collaboration, but also differentiates where the competitive advantage lies.

The broad data middle platform includes data technology, such as a series of technology collections that collect, calculate, store, and Fax List process massive data. The data middle platform discussed today includes data models, algorithm services, data products, data management, etc., It has a strong correlation with the business of the enterprise, is unique to the enterprise and can be reused, such as 2000 basic models, 300 fusion models, and 50,000 labels built by the enterprise.

It is the precipitation of enterprise business and data, which can not only reduce repeated construction, reduce the cost of chimney-style collaboration, but also provide differentiated competitive advantages. 2. The value of the data center 1. Data multiplexing Zhejiang Mobile has used 2,000 basic models as the basis for all data service development. These basic models achieve "the same text as the book, and the same track as the vehicle". No matter how complex the applied data model is, it can always be traced back to 2,000 basic tables. It lays the foundation for data verification and cognition, and avoids the cost waste caused by "duplicate data extraction and maintenance to the greatest extent.