Optimization Of College Admissions Management Decisions Based On Business Intelligence

Playing a very important role in management, decision making is key to the success of the Organization, which provides essential support function in making scientific decisions. Accompanied with the mobile Internet, cloud computing, big data, and so the wide application of information technologies, more and more domestic and foreign enterprises have recognized the value of data mining behind the great significance of optimizing decision, but awareness of domestic colleges and universities in this area is still in its early stages, which is not conducive to scientific decision-making and long-term development in colleges and universities.Distance on-line enrollment in colleges and universities have carried out more than 10 years in a row, major colleges and universities have accumulated a vast amount of historical enrollment data, and will analyze these data summarize every year. But as an admission staff, I think that at present, for the use of these data is still in a rough condition, which has a lot of valuable information and the law also needs to be found hidden in this vast database. With the continuous reform of college enrollment and a declining trend in the number of candidates each year, how to adapt to society and the development of the times, maintain their own characteristics in the changes, and can hold high quality students, fail in the fierce competition, serve the school leaps and bounds location, is first-rate colleges and universities consider each issue. I think the key is to use advanced information technology to optimize enrollment management at all levels of decision making, makes a great deal of historical enrollment data into valuable decision-making rule for enrollment services.This paper will apply business intelligence technology to the admissions decision management to optimize the domestic colleges and universities; the technology currently used in the field is still relatively small. College enrollment and management decision-making and modern decision theory integration, analysis of business intelligence technology capable of strategic and tactical decision-college enrollment, group decision-making and uncertain to play different levels of optimization. According to the reality of domestic college enrollment management, build decision support system based on an integrated enrollment BI, integrated the advantages of DSS, GDSS and IDSS, the use of BI to the entire process of decision-making to optimize enrollment system, while expanding the strategic and tactical planning, forecasting warning analysis, personnel selection and uncertainty management competitive analysis modules. Through data mining, to further reduce the large quantity of data behind the patterns and trends of future development, enhance the college enrollment management analysis tools and grasp the accuracy of uncertain decision-making problems. BI to provide optimal support and guidance of practical significance for college admissions management decisions will further promote the college admissions decisions to achieve the management of information technology, scientific and intelligent.