Building Data-Driven Decision Support System for Pragmatic Leadership.
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Date
2006
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Publisher
EDUCERE - Journal of Educational research
Abstract
Decision Support System (DSS) is an interactive software-based system that assists leaders (decision makers) compile, analyze and manipulate information from raw-data documents, knowlede frameworks and/or business models to identify and solve problems and make decisions. In general, DSS's design and implementations are classified as data-driven, model-driven, knowledge-driven, document-driven and communication driven. Taxonomically, DSS could be passive, active, cooperative. A passive DSS is a system that aids the process of decision making, but that cannot bring out decision, suggestion or solutions. an active DSS can bring out such. A cooperative DSS allows the decision maker modify, complete, or refine the decision suggestions provided by the system, before sending them back to the system for validation. This paper focused on cooperative Data Driven DSS. Data-Drive DSS emphasizes access to and manipulation of time-series of internal organizatinal data and at times external data using Database Queries and On-Line Analytical Processing (OLAP0 tools.Thus, help managers (leaders) make prompt decision from the available data and models easily. The methodology forthe research is IDEFIX approach, nomally referred to as BOTTOM_UP approach to project work. The DSS is to speed-up data analysis for prompt decision-making through data model of relational Database Management System (RDBMS). the implementation optimizes the use of Mathematical Relational Algebra model for various report generation. it is implementable at any level, for practical, reality and pragmatic leadership qualities.
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Keywords
Decision Support System, data-driven, Data needs, IDEFIX approach