After the explosive growth of e-commerce, the cost of many e-commerce retail traffic has gradually increased and it has become difficult to make a profit. Under such a big environment, how to look at the next development of the baby tree with more than one million users, the baby tree was founded. Wang Huainan, the CEO and CEO, said, "The first thing we need to do is to use big data to predict the crowd and help you filter what you can find."
Big data has risen to national strategy in 2016. Under the promotion of national policies, China's big data industry market has grown at a high speed. In 2016, China's big data market grew at a rate of more than 30%. The global big data market is expected to reach US$50 billion in 2017, which means that the average annual compound growth rate of the big data market will reach 31% in the next few years. With the further maturity of big data technology and business models, more and more cases of big data applications in different fields have emerged, and various shortcomings have begun to emerge. Wang Huainan believes that China's big data application is still in the early stage of development.
Massive data sources are prerequisites for the development of big data industry. However, the total amount of data in China is much lower than that in Europe and the United States. According to statistics, in the comparison of new data every year, China’s data volume only accounts for 7% of the United States. Accounting for 12% of Europe, there are some problems in the existing data resources in China. In the big data system, there is no unified standard specification, lack of integrity, and the data is open to a low degree, and sharing is difficult. Many information islands are formed, which causes great inconvenience to the analysis of data utilization. Establishing a benign development of data sharing ecosystem requires joint efforts in all areas.
At present, the big data information processing technology of most enterprises in China is relatively weak. Compared with the initial formation of big data processing analysis and related industries in the United States, we are now faced with the problem of difficult to meet the needs of accurate analysis after data acquisition. Wang Huainan believes that "you actually go to China's mainstream e-commerce today, you will not find that it has done a good pre-judgment." Domestic enterprises are more concerned with data acquisition and management, rather than establishing user-oriented predictive analysis and The mining of data makes it difficult to extract valid information from the data and obtain value. In the next step, the baby tree should make good use of big data to effectively analyze and predict users, and build a complete set of analysis capabilities, analysis processes and data analysis related business systems, grasp user preferences, user behavior habits, etc., and accurately provide personalized service.
Doing a big step in big data has laid a solid foundation for the future development of the baby tree. Under the environment that the Internet dividend is gradually fading and the traffic cost is increasing, the baby tree can still develop smoothly and even at a high speed.
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