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Enterprise Management Information System…. [1] Document image-processing system. The objectives of this system are to archive and retrieve information in the format of image data, so that proper documents can be searched and retrieved in an effectively manner. The system is mainly used in the photograph mapping, paper evaluation and form mapping of student records. This system has a client/server architecture, of which the server is SQL and Windows platform. The document image-processing system has maintained data in a 2 categories. Text Data in relational database format and image data in image file format. [2] Library Information system. This information system is designed for the Library of the University. The system to be developed to support day-to-day operations of the Library under ministration of UNIVERSITY. The architecture of the system is host-based processing, of which database management system is SOUL. There are totally 65 tables, which are clustered into 12 groups. However, UNIVERSITY has only the license of executable programs. This information system also has access to 8000 National and International Journals. It is recommended to initiate a new project to develop new programs, so that the UNIVERSITY owns source programs and reduces maintenance budget in long terms. [3] Executive information system (EIS Phase I). This is only a part of executive information systems to be developed in for University. EIS Phase I was designed to support management in 4 functional areas: revenue management, budgetary management, personnel management, and asset management.All data is collected and summarized from the database of MIS Phase I. The system is developed by using SQL Express and VB. However, EIS Phase I has not been yet used by management because the database of MIS Phase I is still incomplete. [4] Other information systems. These information systems are currently under either development or acquisition processes as indicated in (2). Then, analysis was accomplished by investigating only the design documents of consultant teams. The followings are found from analysis of those information systems: each system is client/server architecture, of which the database is centralized in only the database server of each system, most systems have maintained some data items redundantly with the database of MIS Phase I, there is not any technical specification for interconnecting those databases IV. CONCLUSIONS The paper presents the summary details of the MIS setup for enterprise, a part of the information system integration plan of the enterprise. The consultant team has to apply the methodology consisting of three steps: review and analysis of current information systems, conceptual design of database integration, and final report documentation. The plan covers the most significant information system project in the UNIVERSITY. Those information systems are investigated in 2 aspects: database structure and computer system architecture. The results reveal that, for a particular information system, the database can be clustered into several groups.. REFERENCES [1] Mehraj-ud-Din, Nazima Chesti, “Information System Automation: Problems and Issues”, presented in J 7 K Science Congress of 2006. [2] Mehraj-ud-Din Systematic Approach to Automation, presented in J & K Science Congress of 2006. [3] Mehraj-ud-Din, Majid Zaman, Muheet Ahmed Data Security through Encryption”, , presented in science congress 2006. [4] Inception Report of University of Kashmir Information System Integration Plan: Information System Review, 2003. [5] R. Agrawal, A. Gupta, and S. Sarawagi, "Modeling multidimensional databases", IBM Research Report, 1995. [6] J.W. Buzydlowski, I. Song and L. Hassel. "A Framework for Object-Oriented On-Line Analytic Processing", Proc. of the 1st Int. Workshop on Data Warehousing and OLAP (DOLAP’98), Washington D.C., November 1998. [7] L. Cabibbo, and R. Torlone, "Querying Multidimensional databases", 6th Workshop on Database Programming Languages (DBPL’97), 1997. [8] Cabibbo, L., and Torlone, R., "A logical Approach to Multidimensional Databases". Lecture Notes in Computer Science, n. 1377, Proc. of the 6th Int. Conf.on Extending Database Technology, (EDBT’98), Valencia, March 1998, pp. 183-197. [9] A.F. Cardenas, "Analysis and performance of inverted database structures", Comm. ACM, vol. 18, n. 5, pp. 253-263, 1975. [10] C.D. French, " 'One Size Fits All' Database Architectures Do Not Work for DSS", Proc. ACM SIGMOD Conf., 1995, pp. 449-450. [11] M. Golfarelli, D. Maio, and S. Rizzi, "Conceptual design of data warehouses from E/R schemes", Proc. HICSS-31, VII, Kona, Hawaii, 1998, pp. 334-343. [12] M. Golfarelli, D. Maio, and S. Rizzi, "The Dimensional Fact Model: a Conceptual Model for Data Warehouses" to appear on Int. Jour. Computer and Information Systems. [13] A. Gupta, V. Harinarayan, and D. Quass, "Aggregate query processing in data warehousing environments", Proc. 21st Very Large Database Conf.(VLDB95), 1995, pp. 358-369. [14] H. Gupta, "Selection of views to materialize in a data warehouse", Proc. Int. Conf. on Database Theory, Athens, Greece, 1997. www.<strong>ijcer</strong>online.com ||May ||2013|| Page 96
Enterprise Management Information System…. [15] M. Gyssens, and L.V.S. Lakshmanan, "A foundation for multi-dimensional databases", Proc. 23rd Very Large Database Conf. (VLDB97), Athens, Greece,1997, pp. 106-115.Journal of Computer Science and Information Management, Vol. 2, N. 3, 1999 [16] S. Kelly, "Data Warehousing in Action", New York: John Wiley & Sons, 1997. [17] R. Kimball, "The data warehouse toolkit", New York: John Wiley & Sons, 1996. [18] R. Kimball, L. Reeves, M. Ross and W. Thornthwaite, "The data Warehouse Lifecycle Toolkit", NewYork: John Wiley & Sons, 1998. [19] A. Koeller, E.A. Rundensteiner and N. Hachem, "Integrating the Rewriting and Ranking Phases of View Synchronization", Proc. of the 1st Int. Workshop on Data Warehousing and OLAP (DOLAP’98), Washington, D.C. November 1998. www.<strong>ijcer</strong>online.com ||May ||2013|| Page 97
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International Journal of computatio
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Meisam Mahdavi Qualification: Phd E
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A comparative study of Broadcasting
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A comparative study of Broadcasting
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A Novel Approach to Mine Frequent I
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