From large data to the control of great wisdom

In the traditional economic age, the data is the lowest level of things, from data, information, knowledge to wisdom slowly become more and more valuable, but in today's big data age, the data has become extremely powerful. The big data not only promoted the big knowledge, the big wisdom, but also promoted the big thought, the big pattern, IS has the big wisdom to create the big enterprise. Therefore, who can capture, analyze, use good data, who can seize the opportunity to win this silent big data war.

The enterprise's risk is many, mainly has three: the legal risk, the financial risk and the management risk. In order to operate in a smooth and orderly manner and realize the target of data control, the enterprise should design the data control strategy. That is, to stand on the commanding heights of the strategy, starting from the top level, clear the business development objectives, the Top-down data control for a layer of design, so that all levels and subsystems around the overall target, forming a joint effort to achieve the desired control effect.

A sound data control framework should clearly control the objectives, clear control of the object, express control measures, clear the authority of the Department, the enterprise data implementation of standardized management, and it technology as a support, the comprehensive use of various technologies as a guarantee, to promote the realization of business objectives, and thus achieve enterprise data control objectives. Therefore, in order to achieve efficient and accurate enterprise data control objectives, the need for hierarchical data management, the process from the bottom up, clear their respective responsibilities, each level of control of the content of standardization, flow, specialization, information, the implementation of fine administration.

1. Strengthen consciousness and create atmosphere. The data control should be set up to establish the system, clearly stipulate the relevant work content, clear their respective responsibilities, clear work procedures, the work of meticulous management. From the high level of corporate leadership to start to strengthen the management of all levels and all functional management departments of the control consciousness. To make the enterprise data control laws and regulations, the formation of concentric, unison good control atmosphere. Only by clarifying the connotation and extension of large data management, can we better locate and make decision for the enterprise, then we will get to the forefront in the market-oriented internationalization competition.

2, correct attitude, improve ability. Enterprises through various forms of training, to solve the different business units in the data management of the communication and understanding of the ambiguity and other issues, improve the management of the business capacity and data control level. Only the professional ability and management level of all levels of managers can be upgraded, and the quality of data control and control of enterprises should be carried out according to the enterprise data control structure and process. Based on the rationality of capital structure, this paper studies the problem of stock management and liquidity.

3, unified deployment, hierarchical management. Data centralized management is the key to ensure the normal operation of the data control system, in the enterprise Data Control effective practice, there is a special, stable data management team, responsible for the processing and administration within the enterprise. Integrated data by the management Department of centralized management, unified export, professional data by the Department of functional departments dedicated, centralized management, units in accordance with the requirements of the relevant data, the quality of the data is responsible for this level. Each unit of the relevant data mutual control, collaborative development, so that data management is centralized and professional.

4, System control, coordinated development. The business management, informatization, special technology Management and application analysis of enterprise Data control should be coordinated development so as to effectively avoid the risk of data control system and the occurrence of information island phenomenon. We should strengthen statistical analysis to effectively expand the content of data, present data control results, talk with data, interpret enterprise development with data, and maximize the role of enterprise data in enterprise management, and provide a powerful reference for improving enterprise data control. Industry-oriented, the use of multi-level capital markets to promote the development of industrial industry.

5, flexible treatment, continuous innovation. The design of the data management model and workflow is not the same, the rut may cause the data control effect attenuation, the special matter should be considered in the specific analysis of flexible treatment, in order to obtain high efficiency and high quality data control effect. For example, the temporary layout of the data survey, if the relevant functional departments have a detailed and available information should be used directly, can not also be in accordance with the process of collection of procedures to collect submissions, which can multiply the efficiency of data management and control, also highlighted the special case of data management and energy management.

6, system construction, cultural incentives. Managers must continue to grow, and constantly rise, and progress, there is a bit. At the same time, we should strengthen the construction of modern enterprise system, construct the dynamic system mechanism, realize capital entering, form liquidity, cadres cadres, improve management ability, pay high and low wages, and retain talents with incentive mechanism.

From the data to the sublimation of wisdom, is not only the expansion of business vision, but also the promotion of operational capacity. Large data management is also the foundation of the future development of enterprises, and provide the basis for enterprise decision-making and positioning. Through the analysis of large data, on the one hand, promote the scientific and meticulous management, improve the competitiveness of enterprises, on the other hand, promote the improvement of enterprise development mode, for the enterprise sustainable and steady development lay the foundation.