The main functions of the data center are as follows:

1. Data collection and integration: The first step in creating an enterprise data center is to break down the data barriers of the various business systems within the enterprise and form a unified data center to provide a basis for subsequent data value mining. It is mainly realized through data collection and data exchange.

2, data purification and processing: mainly to unify the data standard, supplement the attributes, and then according to the dimensions of the summary into a data table, and finally summarize the required reports, to meet the enterprise's needs for data.

3, data service visualization: encapsulation of the calculation logic of the data to generate API services, the upper data application can docking data service API, so that the data can be quickly applied to business scenarios. The 3 common data applications docked to the data service API include data big screen, data report, and intelligent application.

4. Data Value Realization: By connecting enterprise data, we can provide data service capabilities that could not be provided by a single department or a single business department in the past, and provide the basis for empowering front-end applications and data value realization.

What is Data Center?

The data middle office refers to the collection, calculation, storage, and processing of a large amount of data through data technology, while unifying standards and calibers. After unifying the data, the data center will form standard data, which will then be stored to form a big data production layer to provide efficient services for customers. These services are closely related to the business issues of the enterprise, unique to the enterprise and reusable. It is the precipitation of enterprise business and data. It not only reduces the cost of duplication and cooperation, but also has a differentiated competitive advantage.