scholarly journals Specification of the data warehouse for the decision-making dimension of the Bid Process Information System

2019 ◽  
Vol 159 ◽  
pp. 1190-1197 ◽  
Author(s):  
Manel Zekri ◽  
Sahbi Zahaf ◽  
Faiez Gargouri
Author(s):  
Hamid Nemati ◽  
Keith Smith

This case highlights factors that provided the impetus for changing a successful EIS into a data warehouse at the VF Corporation. The data warehouse was developed to aid JeansWear, a division of VF, with its pointof- sale/replenishment activities. The data warehouse provides greater reporting and OLAP capabilities, giving replenishment analysts a detailed and synthetic view of the marketplace. It is estimated that about $100 million in 1998 alone might be attributed to the improved Replenishment decision making due to the data warehouse. The case discusses the basic concepts and architecture of this data warehouse and outlines the development process and the problems that the development team had to overcome. It also examines the essential role that this data warehouse is currently playing in the success of VF Corporation. Finally, the case outlines and discusses a number of factors that should be considered and questions that should be asked prior to initiation of a data warehouse project in order to assure a successful outcome.


2017 ◽  
Vol 1 (28) ◽  
pp. 64-73
Author(s):  
An Bao Nguyen ◽  
Lam Nhut Nguyen ◽  
Vi Thi Thuy Ha

This paper introduces an information system developed to maintain data management and reporting on aquaculture in Tra Vinh province. A data warehouse was also built for data analysis and visualization in order to produce general reports and charts that help the managers in decision making. The proposed system was built using .NET technology, Microsoft SQL Server 2014 DBMS, Microsoft SQL Analysis Services and OLAP features of Microsoft Excel 2013


Author(s):  
Hamid Nemati ◽  
Keith Smith

This case highlights factors that provided the impetus for changing a successful EIS into a data warehouse at the VF Corporation. The data warehouse was developed to aid JeansWear, a division of VF, with its point-of-sale/replenishment activities. The data warehouse provides greater reporting and OLAP capabilities, giving replenishment analysts a detailed and synthetic view of the marketplace. It is estimated that about $100 million in 1998 alone might be attributed to the improved replenishment decision making due to the data warehouse. The case discusses the basic concepts and architecture of this data warehouse and outlines the development process and the problems that the development team had to overcome. It also examines the essential role that this data warehouse is currently playing in the success of VF Corporation. Finally, the case outlines and discusses a number of factors that should be considered and questions that should be asked prior to initiation of a data warehouse project in order to assure a successful outcome.


Author(s):  
Hamid Nemati ◽  
Keith Smith

This case highlights factors that provided the impetus for changing a successful EIS into a data warehouse at the VF Corporation. The data warehouse was developed to aid JeansWear, a division of VF, with its point-of-sale/replenishment activities. The data warehouse provides greater reporting and OLAP capabilities, giving replenishment analysts a detailed and synthetic view of the marketplace. It is estimated that about $100 million in 1998 alone might be attributed to the improved Replenishment decision making due to the data warehouse. The case discusses the basic concepts and architecture of this data warehouse and outlines the development process and the problems that the development team had to overcome. It also examines the essential role that this data warehouse is currently playing in the success of VF Corporation. Finally, the case outlines and discusses a number of factors that should be considered and questions that should be asked prior to initiation of a data warehouse project in order to assure a successful outcome.


Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff


2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.


Author(s):  
I. М. Mikhaylenko ◽  
V. N. Timoshin

The transition to "intellectual" agriculture is the main vector of modernization of the agricultural sector of the economy. It is based on integrated automation and robotization of production, the use of automated decision-making systems. This is inevitably accompanied by a significant increase in data flow from sensors, monitoring systems, meteorological stations, drones, satellites and other external systems. Farm management has the opportunity to use various online applications for accurate recommendations and making various kinds of management decisions. In this regard, the most effective use of cloud information technologies, allowing implementing the most complex information and technical level of automation systems for management of agricultural technologies. The purpose of this work is to test the approach to creating expert management decision support systems (DSS) through the knowledge base (KB), formed in the cloud information system. For this, we consider an example of constructing a DSS for choosing the optimal date for preparing forage from perennial grasses. A complete theoretical and algorithmic database of the analytical DSS implemented in the data processing center of the cloud information system is given. On its basis, a KB is formed for a variety of different decision-making conditions. This knowledge base is transmitted to the local DSS. To make decisions about the optimal dates for the preparation of the local DSS, two variants of algorithms are used. The first option is based on management models, and the second uses the pattern recognition method. The approbation of the algorithms was carried out according to the BZ from 50 cases. According to the results of testing, the method of pattern recognition proved to be more accurate, which provides a more flexible adjustment of the situation on the local DSS to a similar situation in the KB. The considered technique can be extended to other crops.


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