Data Driven to Become the Soul of Next-Generation Data Center

As a technology, data is born for applications and will eventually fall into the drive of specific businesses. After years of development, data centers are being transformed from data custodians and service providers to data managers and decision makers. They have changed from responding to the requirements of passive leaders to actively providing data services to leaders and business departments. The transformation of this function enables the business to immediately sense the data. The business can use data to evaluate and make data decisions, which is the data driven business proposed by the same party. This is the soul of a new generation of data centers.

The next-generation data center that Tongfang always advocates is "new" in the systematization of data resources. Systematization of data resources includes two aspects: First, the data state of things. While collecting data, the data can explain itself through this system, making the aggregation and integration of data a self-describing and self-defining process that allows the data to separate from the existence of the warehouse and the report, truly reflecting the relevance of the business, and putting the business After the correlation is sketched out, the data can become resources. This step is now being pursued by all companies. Second, the correlation of the state of affairs is digitized. The data is used to establish the relevance of the state of affairs, form data resources, and help systemize resources. Systematization is the application, so that data resources have their own useless, is to use data to drive business, is also the so-called soul. The "new" of Tongfang's next-generation data center is reflected in the second point of systematization. Tongfang's next-generation data center also emphasizes different perspectives and ideas from other companies, mainly in two points: First, the data center of Tongfang emphasizes software, an information service function, and provides data and services; Second, the service objects of the data center of the same party are the management and decision-making layers, which is different from other vendors' services in the application system.

As an information carrier, data runs through all business operations in the organization. The task of the next-generation data center is to form cross-sector and cross-domain data into a unified resource for leadership decision-making, management monitoring and evaluation, and business-level implementation. jobs.

Data-driven business is the soul of a generation of data centers. It includes the following aspects:

1. Build a business indicator system. The business indicator system refers to the bridge between "data" and "business." Target business activities based on business goals, and mark direct and indirect relationships between business activities.

2. Build and build a data resource system. The data resource system is the cornerstone of "data-driven business." Integrate the data of each business unit and form a service-oriented data resource based on the business index system.

3. Create a monitoring and evaluation system. The monitoring and evaluation system is a "data-driven business" approach. Through the monitoring points and evaluation items of various business activities, abnormal conditions were found and business work was adjusted in a timely manner.

4. New decision-making service system. The decision service system is the goal of "data-driven business." According to the data resources and the results of monitoring and evaluation, make organizational decisions and implement specific business tasks.

How to use data to drive business? For example, the China Association for Science and Technology annually conducts scientific and technological proclamations, general education, etc., and finally statistics on the extent of general education. Artificial statistics in the past were complex and ultimately feedback, and how the intermediate phase was conducted could not be summarized in a timely manner. Using big data technology can completely improve this situation. How does big data play a role in the work of the Chinese Association for Science and Technology in the National Science and Technology Survey? First, build a nationwide scientific data sharing platform to allow science and technology personnel of science to go on the platform. Perform routine work, accumulate a certain amount of time for periodic feedback, establish a clear index system based on data categories, quantify the work of popular science using big data technology, and then conduct in-depth analysis of the quantitative data according to the indicator system, and then Conduct monitoring and evaluation, and finally feedback to the superior department. The superior adjusts the policy or makes new measures in time according to the feedback results. Such a closed-loop process is the complete process of data-driven business. This shows that the data has overturned the traditional decision-making process. In the past, after the implementation of the decision-making, the entire work was completed and there was feedback. After improving the data, real-time feedback can be provided, and the decision-making and development direction can be timely adjusted. This is the data-driven business. Highlights - "from data perception, data evaluation, data decision-making" is also the soul of the new generation of data centers advocated by Tongfang.