WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
| Hi-index | 0.00 |
Over the past years, the term business intelligence (BI) accompanied a change of focus within management support systems (MSS). Since the early 1980s MSS established as a concept for integrated reporting and analysis tools to support management tasks, but primarily in a passive, retrieval oriented way and based on past data. BI, however, promoted an active, model-based and prospective approach. In BI, intelligence was often defined as the discovery and explanation of hidden, inherent and decision-relevant contexts in large amounts of business and economic data. In an enhanced view, the subsequent phases of business decision processes, e.g. in strategic planning and management, were also included. The successful implementation of BI increasingly required the systematic consideration and professional processing of knowledge types and sources, which so far had only been developed sparse, for example – to effectively represent and distribute the BI findings, both factual and model-like cognitions, – to instrumentally apply these cognitions to the modeling of decision support systems (DSS), – to effectively customize sophisticated methods like data mining or forecasting, and – to support the valid derivation and interpretation of action-oriented cognitions.