Building Model-Driven Decision Support Systems With Dicodess

2004 ◽  
Author(s):  
Gachet, Alexandre
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Model Driven ◽  
Building Model

Modelling Spatial Decision Support Systems Focused on the Development of a Data Warehouse

2014 ◽  
Vol 6 (3) ◽  
pp. 43-64
Author(s):  
Concepción M. Gascueña ◽  
Rafael Guadalupe
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Data Warehouse ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Model Driven ◽  
Engineering Software ◽  
Development Methodology ◽  
Software Engineering Process ◽  
Integration Problems

Nowadays, organizations have plenty of data stored in DB databases, which contain invaluable information. Decision Support Systems DSS provide the support needed to manage this information and planning medium and long-term “the modus operandi” of these organizations. Despite the growing importance of these systems, most proposals do not include its total development, mostly limiting itself on the development of isolated parts, which often have serious integration problems. Hence, methodologies that include models and processes that consider every factor are necessary. This paper will try to fill this void as it proposes an approach for developing spatial DSS driven by the development of their associated Data Warehouse DW, without forgetting its other components. To the end of framing the proposal different Engineering Software focus (The Software Engineering Process and Model Driven Architecture) are used, and coupling with the DB development methodology, (and both of them adapted to DW peculiarities). Finally, an example illustrates the proposal.

An Examination of Inter-Organizational Decision Support Systems

2005 ◽  
pp. 248-265
Author(s):  
Daniel J. Power ◽  
Shashidhar Kaparthi
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Model Driven ◽  
External Stakeholders ◽  
Recent Developments

A broad range of Inter-Organizational Decision Support Systems (IODSSs) can be built to support external stakeholders of an organization. This article examines recent developments associated with building and deploying such systems. The IODSS concept is defined, and an information technology architecture for such a system is explored. Examples of current implementations are categorized as communication, data, document, knowledge, and model-driven IODSSs. Further, implementations of IODSSs are categorized as customer- and supplier-focused. Advantages, disadvantages, and current issues associated with IODSSs conclude the discussion.

scholarly journals Supporting Decision-Makers: An Expanded Framework

10.28945/2384 ◽  
2001 ◽  
Author(s):  
Daniel Power
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Makers ◽  
Data Driven ◽  
Web Based ◽  
Client Server ◽  
Model Driven ◽  
Mainframe Computer ◽  
External Stakeholders

A conceptual framework for Decision Support Systems (DSS) is developed based on the dominant technology component or driver of decision support, the targeted users, the specific purpose of the system and the primary deployment technology. Five generic categories based on the dominant technology component are proposed, including Communications-Driven, Data-Driven, Document-Driven, Knowledge-Driven, and Model-Driven Decision Support Systems. Each generic DSS can be targeted to internal or external stakeholders. DSS can have specific or very general purposes. Finally, the DSS deployment technology may be a mainframe computer, a client/server LAN, or a Web-Based architecture. The goal in proposing this expanded DSS framework is to help people understand how to integrate, evaluate and select appropriate means for supporting and informing decision-makers.

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