Large data application upgrades are constrained by multiple factors

With Baidu, Alibaba, Tencent three internet giants in recent days to dense layout of large data industry, large data industrialization shows the trend of acceleration. However, a number of experts interviewed pointed out that China's large-scale data industrialization first, but still have data "island", the legal basis is insufficient, the level of data analysis is not high factors constraint large data application upgrades.

Sitting on the domestic data gold mine Baidu, Alibaba, Tencent has recently upgraded large data to group-level strategy, but the three layout direction each have a focus. It is understood that the search engine as the core of Baidu is a large data field of "Technology pie", which based on user search behavior needs data to help enterprises achieve "data assets"; Ali holds the deal and credit data, and Tencent has the data on social relations. Earlier this year, Baidu launched a large number of data derived from the Spring Festival migration Map, the recent cooperation with the Beijing municipal government to do medical "health cloud"; Alibaba uses its big data to promote the financing of the bank, Tencent is using its social data advantages to join the university to engage in scientific research.

Under the influences of the three big internet giants, the huge data resources produced by the social Information have been effectively integrated and applied, and the industrialization of large data has been developed preliminarily. However, for most enterprises, especially in the traditional field, large data has not yet become a universal application situation.

Experts point out that the concept of large data is widely used, but the real application is seriously inadequate. At present, large data applications focus on Internet marketing, finance, telecommunications, retail, manufacturing, medical, transportation, logistics and other industries for large data applications less.

The application of large data is still based on the internal data of the organization, and lacks the reasonable and effective data sharing mechanism. According to a report published by the Ministry of Telecommunications, the Institute has introduced a number of large data applications, but these applications are mostly for internal service, and because of the unsound legal and data trading mechanisms, these trading platforms remain cautious about opening up and trading data. At the same time, China's government, enterprises and industry information system is restricted by various factors, forming a lot of "information islands", the degree of data openness is seriously lagging behind.

In addition, the accuracy of large data decision references is still to be improved. Experts point out that a wealth of high-quality data resources is a prerequisite for the development of large data industry. At present, China's total data resources have reached 13% of the world, but there are still some data resources of standardization, accuracy, integrity, low utilization value of the situation.

Wang, a researcher at the Internet Research Institute at Oxford University, said that the misreading of data and the bias in the research process, and data overload, are important problems in large data research. "Different scholars do the same research, may be due to different methods, data collection methods, the final conclusions of the data are very different." ”

Experts suggest that we should make clear the strategic goal and strategic focus of large data development in our country, and plan large data application, key technology research and development, industry cultivation, data opening and data protection, market supervision, laws and regulations, etc, to guide the development direction of large data in China and avoid herd blind development.