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Leveraging business intelligence management to business performance management in a manufacturing environment

dc.contributor.advisorCoetzee, J.
dc.contributor.authorLandman, Stephanusen_US
dc.date.accessioned2012-08-27T15:54:59Z
dc.date.available2012-08-27T15:54:59Z
dc.date.issued2011en_US
dc.descriptionThesis (MBA)--North-West University, Potchefstroom Campus, 2012.
dc.description.abstractNo business can effectively be managed without the proper management and information that reflects and creates the milieu it operates in. Business performance management creates the framework in which a structured approach can be followed in setting the scene for a predictive and controllable environment. Business intelligence creates the information structures; information relationships and a reflection of the value chain of the business. By combining the two methodologies it creates a total business solution that harmonises all aspects of value creation in an objective manner. The aim of this study is to conduct a thorough theoretical study on the relevant aspects involved in business performance management and business intelligence, and to assess the relationship of business performance management and business intelligence within the South African natural resource' mining and manufacturing sector. The various processes of business performance management and business intelligence are discussed in the literature study. During the literature research several approaches to business performance management implementations and the pros and cons of business performance management are discussed. A broad look at business intelligence is done, with key focus on delivering of information.en_US
dc.description.thesistypeMastersen_US
dc.identifier.urihttp://hdl.handle.net/10394/7062
dc.publisherNorth-West University
dc.subjectBusiness performance managementen_US
dc.subjectBusiness intelligenceen_US
dc.subjectValue chainen_US
dc.subjectOut-strategiseen_US
dc.subjectPrimary activitiesen_US
dc.subjectSupportive activitiesen_US
dc.titleLeveraging business intelligence management to business performance management in a manufacturing environmenten
dc.typeThesisen_US

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