The Building of Marketing Decision Support System Based on Data Warehouse

2010 ◽  
Vol 29-32 ◽  
pp. 2523-2528
Author(s):  
Zhi Gang Ji
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Strategic Decision ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Marketing Decision ◽  
Decision Supporting ◽  
Multi Agent

An outline of marketing decision supporting date warehouse system based on the existing databases is proposed. The application of data warehouse technique and multi-agent systems to modern marketing decision support system may assist supervisors of enterprise to make an analysis of strategic decision and to improve the competitive power of the enterprise. Finally, the developing tools and the implementation of the Web-enabled data warehouse were discussed.

Marketing Decision and Decision Support System Design Based on Web

2013 ◽  
Vol 850-851 ◽  
pp. 1048-1051
Author(s):  
Guang Yu Peng
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Logical Structure ◽  
The Internet ◽  
Marketing Decision ◽  
Online Analysis Processing

This paper analyzes the DSS characteristics about the marketing under the internet as well as the influencing factors of the market decisions, Studying the decision-making functions of marketing decision support system DSS. It proposed the marketing DSS design, logical structure and its implementation based on a data warehouse as the center, online analysis processing and data mining as a means.

Data warehousing for construction equipment management

2006 ◽  
Vol 33 (12) ◽  
pp. 1480-1489 ◽  
Author(s):  
Hongqin Fan ◽  
Hyoungkwan Kim ◽  
Osmar R Zaïane
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Strategic Decision ◽  
Construction Equipment ◽  
Equipment Management ◽  
Maintenance And Repair ◽  
Repair Costs

Equipment logistics, maintenance, and repair are important aspects of construction equipment management. A well-managed equipment fleet helps reduce downtime, as well as total maintenance and repair costs. With quickly growing fleets of equipment, large contractors tend to divert the maintenance and repair of equipment from equipment managers to project managers. As a result, the equipment managers shift their attention from operational-level decision-making to corporate-level strategic decision-making regarding equipment management, which is often a challenging job with the current equipment management system. This paper presents an equipment data warehouse and a prototype decision support system (DSS). The proposed equipment data warehouse enables equipment managers to visually analyze the equipment fleet data from different perspectives and at various level of details. The data-warehouse-based DSS facilitates high-level, fact-based decision-making regarding equipment logistics, supplies, maintenance, repair, and replacement and has higher levels of performance and flexibility than the current equipment management system.Key words: data warehouse, decision support system, equipment management, multidimensional modeling.

scholarly journals Decision Supporting System For Malang City Baseball and Softball Athletes Selection Using The Vikor Method

2020 ◽  
Vol 5 (1) ◽  
pp. 218-221
Author(s):  
Eka Larasati Amalia ◽  
Deasy Sandhya Elya Ikawati ◽  
Muhammad Arya Puja Laksana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
User Testing ◽  
Vikor Method ◽  
Decision Supporting ◽  
Decision Supporting System ◽  
Computer Based ◽  
Run Test

Decision support system is a computer-based system that is used to solve problems by semi-structured and unstructured conditions. In this case, the best solution can be found from certain criteria and provided alternatives and is easy to use by users. In this study, researchers designed and built a website-based decision support system to select athletes in PERBASASI Malang with the provided test criteria, namely the hit test, catch test, throw test, and run test. The purpose of this study was to provide recommendations for participants who passed the selection based on test scores that have been processed using the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. From the results of calculations, the use of the VIKOR method for this case study produced an accuracy value of 90.90%, a precision value of 93.33%, and a recall value of 93.33%. In addition, the VIKOR sensitivity test showed a consistent ranking of the calculation of the value with veto (value of v less than 0.5), by consensus (value of v is 0.5), and voting by majority rule (value of v more than 0.5). User testing that was applied by using each level of the existing account, i.e. administrator account level, selection account level, and members account level conducted on this information system concluded that the system that was built was running smoothly and was easy to use.

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