Author :
Gang, Tong ; Kai, Cui ; Bei, Song
Abstract :
In modern retail business, increasing standards, automation, and technologies have led to vast amounts of data becoming available, however, business decision-making process has become complicated. Traditional database system has been unable to meet userspsila demand in mass data intelligent analysis & forecast. How to change the existing situation of ldquomass data, poor knowledgerdquo, support better business decision-making and help enterprises increase profits and market share become the business and IT sector issues of mutual concern. Business intelligence technologies emerge as the times require. Business intelligence is a very wide-ranging set of the collection, consolidation, analysis and information access capabilities for a solution, including ETL, data warehouse, data query and reporting, multidimensional data analysis, data mining and other technologies. This article sets out an overview of Business Intelligence, the key technology of Business Intelligence, as well as the establishment & application of Business Intelligence System in retail industry. Business subject and dimension design, ETL tool design, data display middleware design and the main innovation are the key points of the system.
Keywords :
competitive intelligence; data analysis; data mining; data warehouses; decision making; middleware; retail data processing; ETL tool design; business decision-making process; business dimension design; business intelligence system; business subject design; data display middleware design; data mining; data query; data reporting; data warehouse; market share; mass data forecasting; mass data intelligent analysis; multidimensional data analysis; retail industry; Automation; Business; Data analysis; Database systems; Decision making; Deductive databases; Demand forecasting; Economic forecasting; Information analysis; Intelligent systems; Business Intelligence; Decision-making; Retail industry;
