Air China 袁俐 sharing Data Warehouse construction experience in aviation industry

March 16, the world-renowned 12th annual Teradata Data Warehouse and Enterprise Analysis Summit held in Suzhou, the branch to "the ultimate interpretation of data value" as the theme, in-depth discussion of how to fully utilize the latest data warehouse and enterprise analysis technology, with data sources to provide insight, rapid development of the best business decisions, Grasp the business opportunities. Teradata President and CEO Michael Colle, chief technology officer Baoliming, Greater China Singlun, etc. attended the summit.

In the afternoon of the club two, China Aviation Corporation Information Management department Director of data center 袁俐 did a "data assets in the aviation industry application value" as the theme of the speech.

袁俐 points out that in order to meet the challenges of large data arrivals, airlines should recognize the value of data warehouses. First, the establishment of data warehouses can help airlines strengthen customer service management, develop and maintain high-value customer and market share, provide differentiated products and services to customers, and help to implement customer care and maintenance measures; Secondly, the data warehouse can help the airlines to manage the operation efficiently; through dynamic tracking, To take appropriate action this morning, to the maximum income, and to identify the advantages and disadvantages in the market, as well as early to take corrective action; third, in marketing, the value of data warehousing is to help airlines understand the capabilities of regional markets, and accordingly develop strategies to improve promotion and pricing.

The value of the data warehouse to the airline is obvious, but there are some difficulties in the process of building the data warehouse for airlines. 袁俐 shared some of the experience and experiences of Air China in the process of building data warehouses.

For example, for how to discover business 0 point applications, reflect the value of data, how to effectively integrate data to meet the current situation and future business needs, how to choose the appropriate system framework to meet the requirements of different stages of the warehouse, 袁俐 pointed out that the solution to the above problems, can be combined with business strategy, the use of business research methods, Develop business highlights and evaluate value; adopt the mature aviation industry data model, combine own data condition, construct enterprise Data Warehouse gradually, the data warehouse should build into open, comprehensive analysis platform, from the structure to meet the report, many for analysis, instrument panel, Data Mining, flexible query and so on a variety of applications, A single or specific application should not be satisfied.

How to ensure the quality of data, how to build enterprise data standards is also the main theme of enterprises. 袁俐 points out that data quality issues vary, need to be resolved gradually: in the initial stage of construction, the focus is to find data quality problems and analyze the causes of problems, and to form a problem-solving manual process and post; the latter can gradually build data quality control applications and tools to form problem development and traceability, impact analysis, problem solving whole process management. Data standards should be based on business construction, the initial construction focus on statistical indicators and caliber standards, master data standards, the latter can be standardized business transaction standards. Finally, through the data quality and standard construction, combined with the analysis and application promotion, gradually form a full range of data control mechanism.

(Responsible editor: Lu Guang)