What enlightenment does informatization highlight bring?

Highlight 1: "Government Services in internet plus" was written into the government work report for the first time, and "Government Services in internet plus" was put forward for the first time, which realized data sharing among departments, made residents and enterprises run less errands, made things easier and avoided congestion. Simplify and eliminate annoyance and harshness, prohibit illegal investigations, and let people have more equal opportunities and greater creative space.

Second, the concept of "Internet plus government services" embodies the concept of decentralization, improves the service function of the government, and shows that the government function in China is changing to a service-oriented one. "Internet plus government affairs" can promote the construction of a government ruled by law, an innovative government, a clean government and a service-oriented government.

Third, "Internet+government services" will make it easier for enterprises and individuals to enjoy government services, which will not only reduce the administrative costs of the government, but also improve public satisfaction. Diversification, service, large-scale, high-speed, virtualization, intelligence and greening are the development trends of data centers in the future.

Fourth, strengthen environmental governance, promote new breakthroughs in green development, and make heavy efforts to control atmospheric smog and water pollution. It is also proposed to improve the specialization of productive services and the refinement of life services, so that more urban and rural residents can enjoy digital life.

Whether through administrative means or institutional reform, the supporting construction of big data is imperative, which is not only the basis for the implementation of big data in ecological environment, but also one of the breakthroughs in environmental management transformation. The premise of doing this is to have an advanced understanding and deep understanding of big data.