After the data is unified in the data center, it will form standard data, and then it will be stored to form a big data asset layer, thus providing efficient services to customers. These services have a strong correlation with the business of the enterprise, which is unique to the enterprise and can be reused. It is the precipitation of enterprise's business and data, which can not only reduce the cost of redundant construction and chimney cooperation, but also be a differentiated competitive advantage.
The goal of China Taiwan Province is to improve efficiency and data operation, and better support business development and innovation. It is a responsible collaboration of multi-fields, multi-buses and multi-systems. Intermediate platform is a natural evolution of platformization, which brings decentralized organizational model, highlights the ability to reuse and coordinate control capabilities, and builds differentiated business innovation.
Extended data
1, return to the essence of service-data reuse
Zhejiang Mobile takes 2000 basic models as the basis of all data business development. These basic models have achieved the goal of "keeping the same book on the same track". No matter how complex the data model is, it can always be traced back to 2,000 basic tables, laying a foundation for data verification and cognition, and avoiding "cost waste caused by repeated data extraction and maintenance" to the greatest extent.
2. The data center needs constant business nourishment.
In an enterprise, whether it is special topic, report or data retrieval, the current models are basically chimney data production model or project-based construction model, which will inevitably lead to the lack of precipitation and sustainable development of data knowledge, thus leading to the model can not really become a reusable component and can not support the rapid response and innovation of data analysis. In fact, the last thing a business needs is the stability of the model. If a data model blindly pursues stability, it will be complacent to some extent, which will inevitably lead to the emergence of other new similar data models.
The data model does not need to be "stable" and needs constant nourishment. Only by nourishing can we grow from the initial single field to the most valuable model asset of the enterprise.
3. Data Taiwan Province is the soil for cultivating business innovation.
The data innovation of enterprises must stand on the shoulders of giants, that is, from the data center, not always from the foundation. Data center is the guarantee of data innovation efficiency. Anyone who has studied machine learning knows that without good structured data, the process of data preparation is extremely lengthy, which is also a core value of the data warehouse model. For example, operators need to obtain ARPU data for three months, and without the support of the fusion model, they need to summarize the related bills layer by layer, and the speed can be imagined.
4. Data Taiwan Province is the cradle of talent growth
It turns out that new employees need to grow up when they join the company. First of all, they must rely on people to guide them. Second, they have to ask someone to ask them. Third, they log on to various systems to read the source code. This kind of learning is fragmented. In fact, it is difficult to understand the whole picture, and it is impossible to know what is most important to the enterprise. The documents obtained are often out of date.
Now that there is a data center, many growth problems can be solved. With the basic model, newcomers can systematically learn what basic data capabilities enterprises have. With the increase of O-domain data, they can have a broader vision. With the integration model, newcomers can know which subject areas are available, cut in from the subject areas and understand the company's business philosophy on a global scale. With the tag library, newcomers can get all the wisdom of their predecessors. With the data management platform, newcomers can clearly trace data, labels and applications.