The first challenge is the lack of understanding of data resources and their value. This is because society as a whole has not yet formed an objective, scientific understanding of big data, insufficient understanding of data resources and their value in human production, life and social management, there is a blind pursuit of investment in hardware facilities, ignoring the accumulation of data resources and value mining and utilization of phenomena. So this is China's big data in the long term the biggest challenge, but also easier to achieve the goal.

The second challenge is the lack of technological innovation and support capacity. This is mainly because big data needs from the underlying chip to the basic software to the application of analytical software and other information industry to support the whole industry chain, whether it is a new computing platform, distributed computing architecture, or big data processing, analyzing and presenting with foreign countries there are large gaps, the influence of open source technology and related ecosystems is still weak, overall difficult to meet the needs of big data applications in all walks of life. And this is the biggest challenge for big data in the short term.

The third challenge is the low level of data resource construction and application. This is because users generally do not pay attention to the construction of data resources, even if there is data awareness of the organization is mostly only focus on the simple storage of data, rarely for the subsequent application requirements for processing and organizing. Moreover, data resources generally have poor quality, lack of standardization and norms, and weak management capacity. In many cross-sector and cross-industry data **** enjoyment is still not smooth, and the degree of openness of valuable public **** information resources and commercial data is low. Data value is difficult to be effectively tapped and utilized, so that the application of big data as a whole is in its infancy, the potential is far from being released.

The fourth challenge is that information security and data management system has not yet been established. Data ownership, privacy and other related laws and regulations and information security, open **** enjoy the lack of standards and norms, technical security prevention and management capabilities are not enough, has not yet established a data openness, management and information security guarantee system that takes into account the security and development.

The fifth challenge is that the construction of the talent team needs to be strengthened. At present, China's comprehensive mastery of mathematics, statistics, computers and other related disciplines and the application of knowledge of the lack of comprehensive data science talent, far from meeting the development needs, in particular, the lack of both familiar with the industry's business needs, but also mastered the big data technology and management of the integrated talent.