Some Suggestions for Working in the Age of Big Data_Data Analyst Exam

In recent years, along with the "Internet of Things", "cloud computing" and "big data" and other words into the public eye In recent years, along with the "Internet of Things", "cloud computing" and "big data" words into the public field of vision, a big data era is coming to us in stride. In this context, how we should innovate the way of social management, do a good job of the masses, is a major issue facing us.　

The Impact of the Big Data Era on Mass Work

The so-called "big data" refers to information that is so large in scale that it cannot be captured, managed, processed, and organized in a reasonable time by current mainstream software for the purpose of helping enterprises and other organizations to make decisions in a more positive way. It has four characteristics (i.e., 4V): "huge" (Volume), "high speed" (Velocity), "variety" (Variety), "Value" (Value). The use of big data will increase the workload and work difficulty, but also make the work of the masses faster and more accurate. This is mainly manifested in: First, it is easy for the management department to "find out the bottom of the family"; Second, it is conducive to optimize the process, improve efficiency; Third, so that the public enjoy a more efficient, fair and transparent services; Fourth, it is possible to sense and predict in advance of the event and the development of the trend of the first signs. It can be said that big data provides a powerful technical means for mass work, which will largely change the way of thinking of mass work and social management: from "fuzzy management" to "data management" transformation, from "experience management" to "scientific governance".

Big Data will change the way people work and manage society: from "fuzzy management" to "data management", from "empirical governance" to "scientific governance", realizing "intelligent society" and "smart city".　

The main problems facing mass work in the era of big data

Weak data awareness. Some managers have a weak sense of data and lack the concept of "decision-making with data and governance based on data".

The data is used in many different ways. Due to the lack of integrated planning, many application systems do not have unified technology and data standards, data can not be automatically transferred, the lack of effective correlation and **** enjoyment, thus forming a "data island".　

Data security is lacking. The use of cloud computing to integrate massive data resources, from decentralized to centralized, increasing the security risk of data storage.　Lack of data talent. Big data is a comprehensive subject that requires different levels of talent, which is currently in short supply in party and government organizations.　

Some suggestions for doing a good job of mass work in the era of big data

Work on "education" to cultivate data awareness and data literacy, and provide a solid ideological guarantee for mass work in the era of big data. With the rapid development of information technology, having good data awareness and data literacy will become the key for party cadres to do a good job of mass work in the era of big data. First, big data expertise should be included in the education and training of party and government cadres at all levels and in the annual assessment; second, various kinds of lectures and academic reports should be held to popularize knowledge of big data; and third, columns should be opened in the media, such as newspapers, radio, television and the Internet, to publicize the relevant knowledge.　

Working on "integration" to realize data interconnection and full **** enjoyment, to provide a first-class technology platform for mass work in the era of big data. Responding to the needs of mass work in the era of big data, eliminating information silos, realizing data interconnection and full **** enjoyment, and constructing a unified technology platform is particularly urgent. First, we should adhere to the unified leadership, unified planning, unified standards, unified construction; second, we should follow the "demand-oriented, application and development" work idea, promote information *** enjoyment, interconnection, interoperability platform construction and application of simultaneous construction; third, we should adopt the international advanced, in line with the direction of China's information technology construction development, standard, cross-platform information technology. The information technology.　

Work on "prevention" to protect data security and citizens' privacy, and provide a reliable network environment for mass work in the era of big data. When we implement social management and do a good job of public work, we should pay special attention to the protection of data security and citizens' personal privacy. First, the protection of personal information into the scope of the protection and planning of national strategic resources to protect the privacy of citizens; second, speed up the legislation on the protection of personal privacy, and increase the crackdown on the infringement of privacy and other behaviors; third, to strengthen the administrative supervision of privacy protection, and the establishment of a mechanism for measuring the protection of privacy; and fourth, to strengthen the technological protection of the right to privacy, and the use of technological means to safeguard the security of the privacy of the citizens and their legitimate rights and interests.　

Working on "innovation" and strengthening the construction of talent teams to provide quality intellectual support for mass work in the era of big data. Without a first-class talent team, welcoming the era of big data and doing a good job of mass work in the era of big data will become an empty phrase. Therefore, it is imperative to develop and cultivate a team of big data talents to continuously improve the ability of mass work. First, we should set up specialized data management positions, and establish a government "chief information officer" system; second, we should entrust universities, research institutes and internationally renowned enterprises to "order-type" training of talents; third, we should make use of the "appointment system" to attract talents from outside the system. Third, the use of "appointment system", and continue to attract professionals outside the system to enter the party and government agencies, to provide intellectual support and talent protection for the work of the masses in the era of big data.

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