Building enterprise data assets with the “Data Platform” for digital transformation
How does the “Data Platform” work?
The Data Platform is not only a storage center for various data sources, but also an important core entry point for data mining, analysis, and application.
Through ETL (Extract, Transform, and Load) data processing tools, all kinds of data are collected, computed, and stored. Data is continuously and automatically collected to unify enterprise data standards and gradually build enterprise data assets. In addition, the Data Platform provides a single data access endpoint, which can integrate cross-system data to meet multiple applications such as AI, BI, APP, or internal systems, and solve the data duplication and data processing cost issues that arise when enterprises plan services.
The Data Platform enables the utilization of data in enterprises, transforms enterprises with data, drives profits with transformation, and leads enterprises to move forward with digital transformation.
【Online Seminar】From data governance to data platform in manufacturing industries
The importance and demand for data have been increasing, and how to effectively store and apply data has become a key issue for enterprises. The concept of data platform has emerged, which not only can collect data from various sources but also is an important core for data mining, analysis, and application. Through ETL tools, data can be collected and processed automatically and continuously, gradually establishing the enterprise’s own data assets and providing a single data access endpoint for the front-end. By integrating cross-system data, the data platform can meet various applications such as AI, BI, or internal systems, and solve the data duplication and processing costs caused by enterprise service planning. The data platform bears the important responsibility of connecting the front-end and back-end, thereby breaking through the limitations of data and allowing data to assist enterprises in making decisions.