COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(2) 170-174 Uskenbayeva R, Kurmangaliyeva B, Mukazhanov N 170 Operation research and decision making Development of multidimensional model of data for information and analytical decision-making support system R Uskenbayeva, B Kurmangaliyeva, N Mukazhanov * Department of Computer Science and Software Engineering, International University of Information Technologies, 34 «А»/8 «А» Manas Str./Zhandosov Str., Almaty, Kazakhstan Received 1 February 2014, www.tsi.lv Abstract Today almost in all spheres of industry it is observed the urgent need of information technologies development and increase of using opportunities. This paper is devoted to creation of multidimensional model of data for information and analytical system of decision- making support for management. The information and analytical system is developed by means of OLAP technology (On-Line Analytical Processing) which in turn analyses collected materials at a real time based on strategic level of solution. In information systems this technology displays data in the form of a multidimensional cube, and necessary data for users will be expressed in the form of cube slices. The multidimensional model of data is developed for information system intended for decision-making support of higher education institutions management. Keywords: Multidimensional model of data, data warehouse, hypercube, dimension, higher education * Corresponding author - e-mail: mukazhanovn@gmail.com 1 Introduction Today for higher education institutes there is a very small amount of decision-making support systems. Recently introduced education systems and forms require a new mode of management. Higher education quality management and control is one of the main goals of HEIs. In many cases HEIs management make decisions on base of old management systems, their own practice or international practice. The information and analytical system helps university management in decision making on base of real data. Education quality control is identified by means of quantitative and qualitative indication measures. What does the indication of education quality mean? How it can be controlled? Among academic community there are various kinds of opinions on this issue. For instance, at educational institutes quality of education is evaluated on base of students’ academic progress of their quantitative and qualitative indicators, while quality of graduates’ skills can be assessed by labour market demand. Employers evaluate quality of higher education institutes on base of graduate’s efficiency and their contribution into a company development. Quantitative and qualitative indicators of HEIs are as follows: faculty staff, research activity, international cooperation, alumni and their achievements, financing, national and international rankings and others. In order to control at a real time period of higher education quality on base of modern informational technologies it is necessary to gather the previously mentioned indicators and to organize work on this big data; to prepare and to process data for analysis; to make new methods of data modelling and analysis; big data processing with constant updating and information improving for its multidimensional analysis; on base of obtained analysis it is necessary to set up the information and analytical system for HEIs development and control of decision making data. There are a variety of informational systems used at HEIs of our country. These systems are intended for students registering and control of educational process. Where such components like HEIs’ activities data analysis, prognostic analysis and process control at a real time are not considered at nowadays existing analytical systems. Management of the decision-making support systems is based on analytical data handling and data model is aimed to use the collected data as an educational resource. The explicit measure indicators, analysis, methods and conducted monitoring used in the system must contain the whole process (working procedure) of the educational organization, and derived results must be continually analysed and compared with the targeted objectives approved by the educational institute. On its basis should be conducted error corrections and can be defined in advance HEIs’ future activities. Use of new informational technologies and methods in the system conducting monitoring for the management of institutions of higher education contributes to the effective management. The OLAP technology is used to implement the system. This technology is designed for big data of indicators analysis. The main advantage of it is its capability of data analysis at a real time and quick execution of multidimensional inquiries. The OLAP