What are the benefits of the data center?

Data center positioning provides an integrated data development platform for data developers, and the data platform realizes data self-collection through data capitalization and data service->; Data governance-> Data development-> Data assets-an end-to-end data platform for data services, help enterprises or organizations realize data intelligence from easier management to easier application.

Advantages of data platform:

1 to avoid double counting data.

2. Improve data services.

3. Improve the data * * *

4. Manage data as assets.

The specific performance is as follows:

1) improves the development efficiency, reduces the development difficulty, and covers all application scenarios of data processing at the same time, increasing the development efficiency by 2 times.

2) Reduce the development cost, build data services to provide data services for upper-level applications, and decouple the application system and data development system through data services to shield the changes of business data, resulting in failure or abnormality of upper-level data analysis. In addition, through data services, service management and visualization, the reusability of services and data assets can be improved and the development cost can be reduced by 50%.

3) Build the enterprise's own data assets, and complete the data management of the enterprise through the data platform. Data assets can provide services for upper-level applications, and enterprises can build their own applications based on data assets to realize data value.

4) Improve the data quality, manage the data of business systems through data management tools, form a unified management standard for each business system, and provide management tools for visual management. Improve management effect and data quality, and realize enterprise data capitalization;

5) Improve data security, set the sensitivity level of data through the related functions of data security module, and realize safe desensitization storage of enterprise data through asset encryption, desensitization and other functions to ensure enterprise data security.

6) Develop data mining algorithm and intelligent prediction algorithm to predict problems through data, from passive problem solving to early prediction and prevention. In order to avoid heavy losses in business.

7) Through the data assets and data portal of the data platform, the usability of data used by upper-level applications is improved, so that data can be viewed by business parties like products, and at the same time, various usage modes such as visualization, subscription and download are provided.