The Taobao show fusion data is the value of big data, should vigorously promote the fusion of big data and industry, industry, transportation, logistics, trade, finance, telecommunications, energy and other large amounts of data in the industry, data development and trade, fully explore the commercial value of big data, and promote the quality of the industry to increase efficiency and upgrade. Whether from the national government departments or experts in the field have coincidentally mentioned the need for data fusion, data fusion to have value.

Taobao show fusion data is what?

Taobao show fusion data is the value of big data, should vigorously promote the fusion of big data and industry, industry, transportation, logistics, trade, finance, telecommunications, energy and other large amounts of data in the industry.

Carrying out data development and trading, fully tapping the commercial value of big data, and promoting industrial quality, efficiency and upgrading.

Both national government departments and experts in the field have coincidentally mentioned that data needs to be fused, and data fusion is valuable.

Why do we need data fusion?

The most important reason is the fragmentation of user data, which is unable to fully outline the whole picture of the user. For example, your shopping data in Jingdong Tmall, call data in mobile telecom, transaction data in banking and finance, social data in Tencent WeChat, search data in Baidu and so on.

The fragmented nature of the data leads to a more one-sided understanding of the user and may make the wrong decision. For example: now Jingdong and headlines of the "Jingjiao program" is a case of data cooperation.

It is that the items you search for in Jingdong will not be presented regularly in the browsing today's headlines, increasing the purchase rate. There is a flaw here is that if you have already purchased the item in Taobao, but it will still appear on the page, resulting in a decrease in the perception of the user experience.

Another value of data fusion is the discovery of new laws and values. For example, in the past, user credit is mainly based on whether there is a history of lending defaults, but many people without lending relationship data, how to assess.

Sesame Credit has innovatively fused Internet access data, identity characteristics, behavioral preferences, social relationships and other life attribute data to portray the user's credit side by side. This is the value of data fusion.

The fusion of data from different industries is complementary and complete, and will effectively enhance the value of the data.