| The implementation and application of Enterprise Resource Planning has brought enormous benefits to various enterprises, at the same time such application also caused the accumulation of data in great deal regarding the operational status of those enterprises. However with the in-depth progress of ERP application, problems such as the limitation of OLTP, the great cost for system maintenance and serious waste of data resources of great amount etc. existing in the traditional ERP are demonstrated gradually. Besides the traditional theoretic basis of ERP based on the work flow also prevents the further development of ERP, therefore how to overcome these problems has become a focal point of research during the process of enterprise info development at present.Business intelligence has been developed on the technique basis such as Data Warehouse, Online Analyzing and Processing system and Data Mining technique, etc. Its essential demonstrates the effective info-mining from historical data in great amount and subsequently the tracking of knowledge from useful info for servicing the strategic development of enterprises. It is a true case that the business intelligence already turns into a key aspect in terms of functional expansion for ERP system.This dissertation sets out from business intelligence in the first instance to carry out discussion regarding its technical make-up and relevant features, which includes Data Warehouse, Online Analyzing and Processing system and Data Mining. Secondary, based on business intelligence technique the dissertation also conducts research and analyzing of the necessity and feasibility of ERP integrated business intelligence, provides plan for integration of ERP through business intelligence and suggests the method for actual plan implementation. Finally through making use of the plan & method proposed above, the dissertation introduces the actual example of ERP environmental application in big-scale manufacturing enterprise being operated, at the same time it analyzes the existing shortcoming in real application and the way forward for next-step development. |
