Research And Development Of A Platform For Context-integrated Business Intelligence

By analyzing a large number of business data, the traditional business intelligenceprovides support for business decision. After analyzing the importance of Contextamong Business Intelligence, the concept of Context-intergated Business Intelligence(CIBI) is proposed. The research on basic theories, methods, key technologies andsystem of CIBI is conducted comprehensively.The thesis’s main research contents are as follows:In the1st chapter, the background of this dissertation is described. BusinessIntelligence and Context are reviewed and analyzed, and the innovation point, maincontent and structure of this dissertation are given.In chapter2, the basic theories of CIBI are discussed. The concept of BI andContext are analyzed systematically. The definition of CIBI is clarified and thecharacteristics of BIIC Platform are summarized.In chapter3, the key technologies of CIBI are studied. BI, RTDW technology,Context modeling and Context acquiring technologies are studied.In chapter4, CIBI model is built. The architecture of CIBI is established. Afteranalyzing the multi-dimensional context model and context similarity measurement,the architecture of the multi-dimensional context database is built and a similaritymeasurement method based on Host context model tree (CTreeMatch method) isproposed.In chapter5, the platform for CIBI is implemented and applied. After analyzingthe requirement of context, the multi-dimensional context database and real-time datawarehouse are built and the platform is validated.Chapter6reviews the achievement and innovations of this dissertation, and givesa prospect for future work.