Outline of the solution

Huilan (hereinafter referred to as " guidelines") is based on the guidance of the State Council on actively promoting the "Internet +" action (No. 40 [2015]], and the State Council's notice on Issuing the action plan for promoting the development of big data (No. 50, 2015). Based on the in-depth understanding of documents such as GBF [2015] No.51, notice on organizing and implementing major projects to promote the development of big data (fggk [2016] No.42), outline of 13th five year plan for the development of China's tourism industry, combined with the current situation of the information development of the industry and the requirements of data governance, this paper analyzes the existing problems in the industry Pain points in data management.

Data multi head management, lack of special organization to supervise and control data management, can not guarantee the effective implementation of data management standards and procedures.

Because of the decentralized construction of multiple systems and the lack of standardized and unified data standards and data models, all departments have different understandings of data.

Lack of unified master data, the main information such as personnel among the core systems of the organization is not stored in an independent system, or is not maintained between systems through a unified business management process, resulting in the business data correctness can not be guaranteed.

The lack of a unified data quality management process system leads to imperfect data quality and system support capability.

Incomplete data lifecycle management results in inefficient use of metadata.

　　Huilan provides a complete set of solutions for big data analysis of air travel. Through big data analysis, airlines can provide more sophisticated and perfect information services for passengers, and comprehensively solve the big data problems faced by the current air travel industry.

Functional framework

The overall logic architecture of the system is the core of the system. Huilan has fully studied the requirements of the information development and data governance of the air travel industry, and designed the following air travel big data analysis platform architecture.

　　

Logical architecture of air travel data analysis platform

The big data analysis solutions provided by Huilan mainly include six layers: data source, data collection, data processing, big data center, data analysis and mining, and data application, so as to realize the unified aggregation of multiple data, enable the seamless exchange of data across departments, systems, and fields, and finally provide one-stop service for passengers.

Solution advantage

1.Improve data quality (accuracy and integrity)

Huilan provides perfect data quality management to ensure that all data governance work can be effectively implemented, achieve the goal of accurate and complete data, and lay a good foundation for providing effective value-added services.

2.Ensure data security (confidentiality, integrity and availability)

Huilan provides data security guarantee. The guarantee of data security is realized from six aspects: data use security, data privacy, data access rights, data security audit, system and process establishment, application system rights management, to solve the security problems of data in the process of storage, use and exchange, and to ensure that data is not leaked or illegally accessed.

3.Realize the sharing of data resources in various organizations and departments

The ultimate purpose of big data is to serve all departments, units, personnel, etc. the goal of data service management is to provide more accurate, faster and more convenient services. Through the big data analysis platform of air travel provided by Huilan to unify data sources, change multi-source to single source, speed up data flow and improve the efficiency of data service.

4.Promote the integration, docking and sharing of information resources

All kinds of data in the air travel industry must be organized according to a unified standard to form a circulating and shareable information platform. Through the unified metadata standard, data exchange technical specification, data transmission protocol and data quality standard, China Union of science and technology will achieve certain standards and specifications, so as to realize the efficient integration, docking and sharing exchange of information resources.

5.Provide data report and decision support

Through the AVIC big data analysis platform of Huilan to strengthen the ability of data analysis, promote the reform of air travel, improve the service quality and level of air travel, and provide decision support for the development of industry informatization.

6.Accurate passenger portrait

Based on the business data of air travel industry and the historical data of personal air travel, the big data analysis platform of Huilan air travel analyzes the preferences and habits of users, and then generates accurate user portraits to lay the foundation for providing intelligent personalized services for passengers.

7.Precision marketing, personalized service

　The big data analysis platform of Huilan air travel provides precise marketing services with user data as the core, and air travel enterprises can provide services or personalized recommendations for surrounding businesses, tourism routes, food attractions, etc. according to the customer's user portraits.

8.Intelligent airport decision support

Based on the comprehensive access to the airport business system and big data analysis, the big data analysis platform of Huilan air travel provides intelligent support for airport managers to make airport decisions quickly and efficiently, including advance prediction, flight adjustment decision, large-scale baggage disposal decision, transfer passenger placement decision, gate change decision, etc.

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