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(1) The data management subsystemIt is responsible for retrieval, storage and organization of relevant data for the particulardecision context. Additionally, it provides the security functions, data integrity proceduresand general data administration duties. Database, Database management system, datarepository and data query facility are all elements of data management subsystem. What'smore, data management subsystems interconnects with data warehouse for corporaterelevant

decision-making data.Data warehouse is a collection of integrated, subject-oriented databases designed to supportthe DSS function, where each unit of data is non-volatile and relevant to some moment intime.(Inmon, 1992).There are three most important techniques in data management subsystem. The first one isETL. The ETL consists of extraction, transformation and load. Extraction means reading datafrom one or more databases. Transformation is converting the extracted data fromits previous

form into another form fitting different databases. Load means putting the data

into the datawarehouse. And the transformation of data will affect the Data Mining and OLAP.The second one is Data Mining. In the past time, decision is hard to make because of less ofdata. But nowadays massive and redundant information and data are interfering decisionmaking. Data Mining is the process of finding mathematical patterns from usuallylarge sets

of data. These patterns can be rules, affinities, correlations, trends, or prediction models(Nemati and Barko, 2001). Data Mining helps in discovering previously unknownrelationships among the data by using pattern recognition technologies and statistics.

The third one is On-line Analytical Processing (OLAP). OLAP is used for queryingand

analyzing data. Usually OLAP includes some activities as generating and answering queries,requesting ad hoc reports and graphs and executing them. It conducts traditionalor modern

statistical analysis and builds visual presentations.(2) The model management subsystemThe model management system focuses on the management of quantitative models ofDSS. Itcontains model base, model base management system, model repository, model execution28

processor and model synthesis processor. Model base provide business model for the analysisof data, generate useful report to support decision making. The model managementsubsystem

includes financial, statistical and management science.Here comes the function of the model management subsystemA. Identification of the problem and environmental analysis.The problems must be unambiguous and understood by the decision makers. Businessanalytic tools can help identify the problem ( Hall, 2002).B. Variable identification.

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Graphical models of mathematical models and other forms of diagrams provide thedecisionmakers with better understanding of the problems.C. Predictive analytic.It is essential for construction and manipulating models. Analysis of the history data withwhat-if method will bring positive impact on the future. In banks they attempt to predict theirpotential best customers from their history data.(3) The Knowledge-Based Management subsystemIt is about problem recognition and generations of interim or final solutions. It is the "brain"of the DSS provided the user with a useful application. Knowledge base stores and providesthe business rule to assist in computing and analyzing data and it is supplemented by learningfrom the banking experiences. It becomes common that dealing with some complex andunstructured problems and forward more instructive proposal by knowledge base. Knowledgecomponents might be provided by Expert System, neural networks, intelligent agents, fuzzylogic, and so on.(4) The user interface subsystem

It is a window for the DSS to exhibit to its users. User interface covers all aspects ofcommunication between a user and the DSS. Besides hardware and software, it alsoconsists

of factors which are usable, accessible, and friendly of human-machine interactions. Since thebackground processing is transparent for the user, the interface of the system is the wholesystem from the user's standpoint.