英语论文网

Abstract
英国留学生企业资源规划论文 Purpose – This paper seeks to propose business intelligence (BI) and enterprise resource planning (ERP) integrated framework that adds value to enterprise systems. Design/methodology/approach – A conceptual approach is taken. Findings – ERP systems integrate all facets of the business and make data available in real time. BI tools are capable of accessing data directly from ERP modules. Originality/value – The value-added system proposed allows enterprise-wide transaction data to be collected and analyzed for organizational decision-making processes.

Keywords Decision support systems, Data handling

Paper type Conceptual paper

1. Introduction
Over the past few years, integrated enterprise resource planning (ERP) applications have brought a new way of delivering operation information. The advantages of these changes have transformed many organizations, which improved financial visibility, streamlined supply chain processes, and minimized human resource (HR) processes and overhead.
The beginning of ERP concept can be traced back to 1960s. During that time, the manufacturing systems were mainly handling inventory control, based on traditional inventory concept. The next decade’s (1970s) manufacturing systems shifted to material requirement planning (MRP) transactions. MRP helped in translating the master production schedule into requirements for raw material planning and procurement. The concept of MRP-II (manufacturing resource planning) came in 1980s.Manufacturing resource planning involved optimizing the production process and distribution management (Yen et al., 2001). Later, MRP-II was extended to include areas such as corporate finance, personnel management, engineering process, and business project management. The development of manufacturing systems gave birth to ERP that supported the cross-functional coordination and integration within the production process. The modern ERP includes the entire range of a company’s activities. ERP system is a business management system that integrates all facets of the business, including planning, marketing and manufacturing (Yen et al., 2001). More than 20,000 firms in the world spent billions of US dollars to install the ERP systems. Around 70 percent of the Fortune 1,000 companies had deployed ERP applications by1997 for manufacturing, finance, HRs, and other main areas (Yen et al., 2001).
Information is the foundation of every critical business decision. The creation offer systems integrate all functional areas of the organization. ERP systems are backbone systems for most organizations that integrate back-office applications such as finance, purchasing, HR, inventory management, etc. Although ERP systems can integrate all business transaction data into their master databases for organizational planning, it is not a system for data analysis and decision support process.

References
Augustine, R. (2004), “Business intelligence: solving the ERP overload”, available at:
CRM2day.com (2004), “Business intelligence”, available at: Data monitor (2001), “Business intelligence: from data to profit”, available at: 41&report_id ¼ 560 Hisami, N. (2004), “BI for sale”, available at: MacVittie, L. (2002), “Business intelligence with smarts”, Network Computing, 30 September, pp. 42-57.
Rasmussen, N., Godly, P.S. and Sole, P.O. (2002), Financial Business Intelligence, Wiley,New York, NY.
Scheurich, L本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。