Abstract: A decision support system (DSS) application is usually built to assist management in their decision making purposes and aid in discovering patterns in a historical data in a given context. Moreover, a DSS also have the capacity to assist in making prediction when combine with data analysis tools to develop the model. In turn, DSS assists management decision making by combining data, sophisticated analytical models and tools, and user-friendly interface into a single powerful system that support semi structured or unstructured decision making [8]. The main purpose of DSS is not to make a decision but to be assisted in decision-making. However, addressing organizational such as health service decision making problems require a broad systematic approach that includes data and requirement gathering, and modeling the data to best suit the service decision-making. Here, the concepts of observatory plays a critical role as it can strategical facilitate processes involved in the data and requirement elicitation. A DSS application help structure the organization well in this era of knowledge management and utilization of large data to find patterns and make predictions. The decision support system application implemented in this work engaged a special database known as data warehouse. This data model technique used thus a multidimensional modeling interface with data analysis tools such as query and reporting, and multidimensional analysis.
Keywords: observatory, multidimensional model, multidimensional data analysis.
Title: Techniques in the Design of Decision Support System for Health Service
Author: Bremang Appah, David Amos
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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