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Business intelligence may be defined as a set of mathematical models and analysis methodologies that systematically exploit the available data to retrieve information and knowledge useful in supporting complex decision-making processes. A business intelligence environment offers decision makers information and knowledge derived from data processing, through the application of mathematical models and...
Traditionally, enterprise data management is divided into separate systems. Online Transaction Processing (OLTP) systems are focused on the day to day business by being optimized for retrieving and modifying complete entities. Online Analytical Processing (OLAP) systems initiate queries on specific attributes as these applications are optimized to support decision making based on the information gathered...
Previous studies have focused on serveral aspects of CRM (Customer Relationship Management). However, there is a lack of research that focuses on the customer segmentation of shipping enterprises using data mining. Data mining technology can be used to in modern CRM to greatly enhance it function and efficiency. Based on the technologies of clustering and classification in data mining, this paper...
Business intelligence (BI) is a managerial concept helping managers and organizations to manage information and make factual decisions. Some have introduced Business Intelligence as a process of turning data into information and then into knowledge. This concept has become a popular trend for businesses interested in adding value to their decision making processes. Measurement of maturity in implementing...
Data warehouses are used in many domains. Their purpose is to store historical data and to assist in the decision making process. Multimedia data warehouses are used for storing files which contain texts, graphics, videos and sound. These kinds of files are produced in large quantities, in fields such as medicine or space research. We propose a framework for building such a data warehouse, structuring...
Business databases that have accumulated over many years of business records typically contain a wealth of hidden knowledge that could potentially be utilized by management to make better informed business decisions. In this paper, we describe a framework for knowledge discovery from business databases and demonstrate how the discovered knowledge can be put into good use. The proposed framework uses...
International competition and dynamically changing customer demands lead SME's to join dynamically formed, `smart' enterprise networks aiming to increase their competitiveness and market share. Supporting such networks with decision making related to collaborations and providing adaptive user interfaces are key challenges. In this paper, we use furniture manufacturing SME's as a case study and we...
For solving the two weaknesses of traditional data mining DM, combing data warehouse technology, OLAP technology and DM technology, we put forward an OLAM system model, and this model has been researched and applied. In this system, the OLAP and the DM attains the machine of certain degree to combine, user can participate to the whole analysis during the DM process, which makes the decision-making...
Nowadays all services are using internet and one of these services is tourism. But there is a big problem that tourists are facing which is the load of relevant or irrelevant information and resources to study before or during their travel and this can lead to a difficulty in decision-making process. We can take advantage of Data mining, web mining and knowledge management techniques to customize...
Decision making is an important task for enterprise managers, and is typically based on various data sources derived from information systems, such as enterprise resource planning, supply chain management and customer relationship management. Numerous business intelligence tools (BI) thus have been developed to support decision making. Some existing BI tools have several limitations, for example lacking...
Business intelligence platform is used by an enterprise is an effective tool to help and guide your decision making to keep your products and services competitive. This paper systematically introduces the relate components of a business intelligence system and gives a complete Business intelligence solution with Microsoft SQL Server 2005.
Business decision-making is not a simple task. There are many reasons for that but one of the main reason might be that data comes from different operational sources of an organization and it is difficult to organize and maintain especially if a huge volume of data is involved. A Data warehouse is helpful in this regard as it can assist in business decision-making by collecting data from different...
Promoting students success requires the implementation of processes and mechanisms that allows the closely monitoring of the students academic activities. Although essential, the activities involved in this complex process do not take place in many higher education institutions due to the lack of appropriate practices and an adequate technological support that sustain these practices. To overcome...
One of the major concepts in business analytics is to identify the anomalies over time, also called as trend analysis. This can be easily done in pivot tables by using time as one of the dimensions, usually across columns. However, the trending information itself is insufficient to make any quick and insightful observations. Ranking the time series to identify the similar units of information can...
The rapid development of the Internet has brought an opportunity for the development for enterprises. Web mining in the status of e-commerce Websites have became more and more important. In the e-commerce, the data mining is helpful of the discovery to trade development tendency, of the correct decision-making made by the enterprise. This article mainly summarizes the present electronic commerce's...
To resolve the heterogeneous distribution of data sources of financial business and provide financial decision-making with information support, based on the studies of data warehouse technology and decision support system, the author designed the support system of financial decision-making on the basis of data warehouse applying to Jiangxi Province' s finance, which includes the overall planning of...
The Nash-Cournot equilibrium theorem is based on some assumptions that usually do not hold true in reality. In this study, duopoly market equilibrium is tested by a group of players using a special business simulator that was adopted specifically for this task. The competing players knew their market in advance and had received their opponent's price, quantity of product and profits in the previous...
During the process of society aging, the unnecessary resource consumption due to the design differences for different aging populations has increased rapidly. Taking this as a background, the study on universal design is aimed to integrate and expand products' user population, improve product efficiency and optimize the usage of resources. The study in this specific field hopes to help enterprises...
With the supplier data of supermarket, the business intelligence system was developed. The paper made use of data guiding into and guiding out service tool of Microsoft SQL Server 2005 as ETL tool. A mass of data needed for analyzing and decisionmaking were separated from affair database by taking out, transition, cleanout, loading. The data warehouse facing supplier theme was established by Microsoft...
In financial system, the general use of financial data has also been unable to meet the inherent need of the deepening of financial information and management modernization. The financial informationization is faced with needs of the growing use of financial data analysis. Under this background, this paper analyzes the financial income of certain city in a certain period. Association rules are mined...
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