Critical business intelligence practices to create meta-knowledge

Knowledge Harvesting for Business Intelligence

Business Intelligence (BI) Critical Success Factors

Companies are increasingly focussing their information systems efforts around Business Intelligence (BI) solutions. The benefits realised from BI vary significantly from company to company. BI systems are now being used as extensions of Enterprise Resource Planning (ERP) systems as they consolidate, transform and analyse the vast amounts of data generated by the firm. Much attention has been gi...

Critical Success Factors for Business Intelligence Systems

Received: June 11, 2009 Revised: August 6, 2009 Accepted: September 14, 2009 The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to br...

Knowledge Creation: a Business intelligence design theory

The primary purpose of decision support systems (DSS) is to improve the quality of decisions. Since decisions are based on an individual’s mental model, improving decision quality is a function of discovering the decision maker’s mental model, and updating and/or enhancing it with new knowledge; that is, the purpose of decision support is knowledge creation. This article suggests that BI techni...

Editorial: Knowledge Discovery and Business Intelligence

1 Introduction Due to advances in Information Technology, nowadays it is easy to collect, store, process and share data. In effect, the amount of data stored by organizations or individuals is estimated to be growing exponentially [Lyman, 2003]. While Expert Systems (ES) were originally devised to solely mimic human experts [Buchanan, 1986], there is a pressure to extract as much useful informa...