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.

Improving Decision Making by Means of a Marketing Decision Support System

1998 ◽  
Vol 44 (5) ◽  
pp. 645-658 ◽  
Author(s):  
Gerrit H. van Bruggen ◽  
Ale Smidts ◽  
Berend Wierenga
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Marketing Decision

The Impact of Using Data Warehouse on Manpower Employment Decision Support System

2011 ◽  
Vol 383-390 ◽  
pp. 4653-4659
Author(s):  
Amro F. Alasta ◽  
Muftah A. Enaba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Employment Decision ◽  
Use Of Data ◽  
Using Data ◽  
The Impact

Since the use of computers in business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in database. Database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size increases, the need for more control and information retrieval increase. These increases lead to the development of data mining systems and data warehouses. This paper focuses on the use of data warehouse as a supporting tool in decision making. We to study the effectiveness of data warehouse techniques in the sense of time and flexibility in our case study (Manpower Employment). The study will conclude with a comparison of traditional relational database and the use of data warehouse. The fundamental role of data warehouse is to provide data for supporting decision-making process. Data in data warehouse environment is multidimensional data store. We can simply say that data warehouse is a process not a product, for assembling and managing data from various sources for the purpose of gaining a single detailed view of part or all an establishment. The data warehouse concept has changed the nature of decision support system, by adding new benefits for improving and expanding the scope, accuracy, and accessibility of data. The warehouse is the link between the application and raw data, which is scattered in separate database but now is unified. The objectives of this work are to study the impact of using data warehouse on Manpower Employment Decision Support System, in the sense as far as the data quality concern. We will focus on the benefits gained from using data warehouse, and why it is more powerful than the use of traditional databases in decision making. The case study will be the Libyan national manpower employment agency. The data warehouse will collect database scattered from different sources in Libya in order to compare the performance and time.

Modeling Web-Based Data in a Data Warehouse

2011 ◽  
pp. 826-831
Author(s):  
Hadrian Peter ◽  
Charles Greenidge
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Data Structures ◽  
Support System ◽  
Database Design ◽  
Storage Facility ◽  
Web Based ◽  
Good Data

Good database design generates effective operational databases through which we can track customers, sales, inventories, and other variables of interest. The main reason for generating, storing, and managing good data is to enhance the decision-making process. The tool used during this process is the decision support system (DSS). The information requirements of the DSS have become so complex, that it is difficult for it to extract all the necessary information from the data structures typically found in operational databases. For this reason, a new storage facility called a data warehouse has been developed. Data in the data warehouse have characteristics that are quite distinct from those in the operational database (Rob & Coronel, 2002).

Decision Support Systems for Marketing Managers

1979 ◽  
Vol 43 (3) ◽  
pp. 9-26 ◽  
Author(s):  
John D.C. Little
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
New Technology ◽  
Computing Power ◽  
The Past ◽  
Marketing Decision

In the past 10 years, a new technology has emerged for assisting and improving marketing decision making. We define a marketing decision support system as a coordinated collection of data, models, analytic tools, and computing power by which an organization gathers information from the environment and turns it into a basis for action. Where such systems have taken root, they have grown and become increasingly productive for their organizations.

Research on an Economic Monitor and Decision Support System Based on Data Warehouse Technology

2013 ◽  
Vol 416-417 ◽  
pp. 2016-2019
Author(s):  
Ye Kuang ◽  
Chao Xie
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Research Method ◽  
It Resources

Data warehouse technology is a new international pioneering research method which is developed by the urgent demands to adequately apply IT resources including Data Warehouse (DW), Data Mining (DM) and OLAP. The architecture and realization methods of an economic monitor and decision support system (DSS) based on DW are presented in this article.

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.

Data Mining Approach to Decision Support in Social Welfare

2014 ◽  
Vol 5 (2) ◽  
pp. 39-61 ◽  
Author(s):  
Ricardo Anderson ◽  
Gunjan Mansingh
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Social Welfare ◽  
Knowledge Discovery ◽  
Support System ◽  
Process Model ◽  
Use Of Data ◽  
Data Mining Approach

Knowledge discovery and data-mining techniques have the potential to provide insights into data that can improve decision making. This paper explores the use of data mining to extract patterns from data in the domain of social welfare. It discusses the application of the Integrated Knowledge Discovery and Data Mining process model (IKDDM) a social welfare programme in Jamaica. Further, it demonstrates how the knowledge acquired from the data is used to develop a knowledge driven decision support system (DSS) in the PATH CCT programme. This system was successfully tested in the domain showing over 94% accuracy in the comparative decisions produced.

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.

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