With the acceleration of the mobile Internet, the Internet has entered the era of DT from IT, data services for many domestic enterprises to provide the underlying technology and comprehensive solutions at the same time, in addition to its commercial value, more convenience and more benefits to be passed on to the user . Some people say that big data is "oil" is "gold," said Pei Tu child is big data "soil", and Ma said that large data "means of production", I think they are both right, but also wrong. When the big data applications in different areas and different scenes, meaning produced and what we stand for are not the same, there is no way one sentence completely profiles.
Big Data business model can be divided into several levels of value-added data sources, data source and data integration API and so on. Data is itself a product, enter data screening, research, analysis data reported to form to form a valid query, manage, push marketing results.
Value-added data source, and then into a cooperative authorized mode; the data source integration, can help the government, enterprises and institutions to get through "data islands" in which play the role of a "pipe", so that data flow together, the whole process the identity of the third party is involved, but to help the Party to solve the problem of data integration flows; data API is, the transfer of data to pay via API, provided that such data is legal and safe.
First proposed the Big Data era is McKinsey: "Data, today has penetrated into every field of industries and business functions, has become an important factor of production people for mining and use of vast amounts of data, heralding a new wave of productivity growth and consumers. the arrival of a wave of earnings. big data is a need for new treatment mode in order to have more decision-making power, insight found massive, high growth rates and diverse information assets force and process optimization capabilities. "
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Victor 迈尔舍恩伯格 in the "era of big data," a book cited an example in every possible way, it is to illustrate a truth: the Big Data era has come the time to use Big Data thinking to explore the potential value of big data. One of the most classic case of Wal-Mart has done "beer" and "diapers" study: Wal-Mart in the study found, while a class of customers often buy diapers also buy beer. Two seemingly unrelated categories of merchandise is actually a kind of social phenomenon as a result, there are many young couples with children at home mistress, and the men who went to the supermarket to buy diapers, usually slide down to buy some beer.
Data often allows you to discover the seemingly irrational illogical but there is, and the phenomenon often happens. Next Bee Marketing cloud large share data in real life, the whole scene in the application of specific performance:
Help enterprises improve targeted marketing, logistics and inventory to reduce costs, reduce the risk of investment, and help enterprises to enhance the accuracy of advertising
to help urban crime prevention, smarter transportation, improve emergency response capabilities
to help electricity suppliers to companies and users Featured Products services to help your favorite travel sites offer itineraries for tourists, helping buyers and sellers in the secondary market to find the most appropriate trading goals to help users find the most suitable product purchase period, the business and the best prices
to help medical institutions to establish the patient's risk of disease tracking mechanism to help pharmaceutical companies improve the clinical effect of the use of drugs to help AIDS research organization providing customized drugs for patients
to help the government achieve market economic regulation, public health security, disaster warning, social public opinion.
Data should be the next big shadow is everywhere, even if the data can not accurately predict the big end of human society will be taken to the final form of which, I believe the big data revolution will not stop.
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In the field of advertising affiliate marketing, big data has become "artifact." In terms of advertising affiliate marketing, the role of big data is "help-type" catalyst. Spend less money to get more and more valuable customers, which is reflected in big data.
Big Data applications in the direction of even more extensive financial, infrastructure architecture to be sure, be sure to store the data source, in addition to the technical direction of big data on credit, fraud, P2P Internet banking, insurance, financial products have much to offer. Currently, all of the Bank of China have deployed big data architecture, but also the large data EMAY as its soft power. However, due to its own data is relatively limited, the need for complementary resources and data company, effective to form a comprehensive picture of the customer, providing customers with financial and consumer behavior characteristics of user groups analysis services.
Bee Marketing cloud big data services, providing full-scene data services to help companies identify more data value, enhance decision-making and risk control ability, a brand new business opportunities and accurate data marketing.