Situation analysis 

• It has rich customer resources and a large amount of data accumulation, but there are data barriers between the plates, and the long-tail customers are not well maintained.
• The guidelines of "the combination of online drainage and offline extension, the combination of internal group collaboration and external channel diversion, the combination of public and private domain traffic, and the combination of system construction and content operation" have not been well promoted. 

Solution 

• Based on Aliyun native big data computing service MaxCompute
• Customer related data sources (big data platform, business library, etc.) are introduced into Maxcompute by means of multi-data source access capability and index/label processing. Meanwhile, data mart, user label, product label, content label, and employee label system are constructed by means of data collection and statistical capability of transmission metadata through pipelines. And marketing, operation, service and other business application scenarios involved in the development of supporting data applications. 

Value 

• Improve the efficiency of data organization and management, and make the data easier to find and use. Finding specific information more quickly, improving the user experience.
• Timely and accurately track business data performance, realize data automation and intelligence, and improve the iterative efficiency of channel operation strategy.
• The total number of contacts reached 23.74 million, and the total number of contacts reached 530,000 potential customers and 3.17 million customers.
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