How to understand the informatization of an industry

(1) We should use new information technology ideas and concepts to organize, promote and implement enterprise information engineering construction. (two) do a good job in the construction planning of enterprise information projects. A good project planning usually includes the following five steps: 1, establishing perfect leading institutions and implementing institutions; 2, do a good job in demand research, determine the clear demand, take the problem and demand as the guide, and set the overall goal and phased goal; 3. Carry out the overall design of the information system and determine the development and application standards and specifications; 4. Construct the basic support and application system from the technical and functional aspects; 5, systematic evaluation, to ensure that the goal is gradually realized. (3) Pay attention to the early diagnosis and consultation of enterprise informatization, and implement enterprise informatization projects with the help of the professional knowledge and practical experience of "outside brain" to improve the management level and competitiveness of enterprises themselves. (D) To do a good job in enterprise information project management, because information projects are very different from traditional engineering project management: 1. The informatization project aims at "creating intangible intellectual products", and the implementation of the project is a kind of "knowledge transfer", while the engineering construction project aims at "building tangible construction projects", and the essence of the project is a kind of "factor resource allocation". 2. The construction quality of traditional projects can be separated from the project operation, while the "quality" of information projects must be effectively combined with the operation to bring economic benefits into play. (5) Pay attention to the sorting and mining of basic data. Software and hardware of information technology can be bought, but data can't be bought. "Data mining" is a process of developing and utilizing effective information and knowledge from massive data, which can help enterprises to make statistics, analysis, synthesis and reasoning on the data, thus assisting enterprise executives and management decision makers to grasp the market and win competitive advantages by using existing data.