Asiainfo Zhang Yi: Open up various industry data barriers to make large data become unimpeded

Large data era has come, enterprises have a growing number of data, how to better mining data value, and then guide business development, resulting in more efficient, become the focus of enterprise attention and direction of pursuit. 2014 Zhongguancun Large Data day, Asiainfo proposed the concept of large data assets, and to help partners improve the value of large data assets best practices. Take this opportunity, csdn an interview with the Asia Letter Big Data Division general manager Zhang Yi, asked him to share the Asia letter to the large data asset understanding and the latest research and development results.

Zhang Yi, general manager of the Great data Division

Three key points of large data asset management

In the past, operators viewed data only as a service that provided a detailed query function for customers. With the development of large data technology, these trivial data stored on the server has doubled, becoming an important asset of the enterprise.

How to manage these fast-growing data to make it a truly realizable asset, Zhang Yi said that enterprise leaders should first establish the way of thinking of data assets. Large data has a great potential for the use of value, storage may consume a certain amount of capital, but over time, it will reflect the higher the value of the enterprise will be the opportunity to realize the data is greater. Only by recognizing this point, the enterprise leader can change the concept to make the management of data assets operable.

Furthermore, the establishment of the sharing mechanism. Now the data between the Government and the enterprises are isolated, and the value embodied is only the value of a single business. Zhang Yi that only by breaking the data barriers between various departments, solving the problem of not fluent, the concept of data assets and interpretation of the sharing of data, so that decision-makers can better apply it and tap its value. At present, some Governments are promoting the development of data trading, Asiainfo is also actively involved.

The third is technical issues, including data security, data privacy, and visual management. In the process of exporting large data as assets to the outside, whether the enterprise will disclose the information of the enterprise and whether it will disclose the privacy of the client, especially should pay attention to it. As for visualization management, Zhang Yi means that the data is flowing and massive updating, through the visualization technology, establishes the visualization panorama (data map), grasps its source and the direction, in the future can realize the real data potential value in the more application scenario. Asiainfo recently launched a data asset management integrated machine, is to solve the data assets visualization, integrated management of the solution.

Data Asset Management Integrated machine: The whole realization Data management visualization

In the interview, Zhang Yi detailed the data asset Management integrated machine. He said that this is a customized hardware and software integrated equipment, set computing, storage, network, large data platform software, large data analysis application software in one, with the heterogeneous computing concept of application and hardware deep integration, provides far more than the common platform of large data analysis and processing performance.

The system is a whole industry-oriented products, the core competitiveness of the main two points, (1) has a large number of data analysis and processing capacity, (2) The use of open source model products, customers can purchase other software products to save a lot of costs. In addition, the whole system uses x86 server, from hardware to software are localized matching, independent controllability. Currently serving provincial operators and national banks.

Cross-border data consolidation is critical

With years of research in the field of large data asset management, Asiainfo is helping more and more companies get out of the "Big Data Dilemma" and make their experience more perfect. For example, Zhang Yi mentioned that Asiainfo is working with a nationally renowned chain catering enterprises to carry out large data cooperation, to help the enterprise analysis of the source of customers and their preferences, eating habits, the future customers come to the restaurant, perhaps not to order, through data analysis can know what he likes to eat. In addition, the letter is also with more store stores, power enterprises to cooperate.

In the process of cooperation, Zhang Yi deeply felt the importance of the integration of Cross-border data. He said that the integration of data between the various industries can make the whole generation of data and flow process more transparent, in this data ecology, the data can be mined very high, can bring more value output and input. While sharing their digital assets, enterprises can also gain value from other people's data and improve the efficiency of enterprises. Just as network operators collect the user's habit of surfing the internet, it is very useful to analyze the dining habits of the customers. The banks, which have plenty of data, still thirst for data from government and operators.

(Responsible editor: Mengyishan)