Soft systems methodology in action
Soft systems methodology in action
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Explanation component of software system
Crossroads - Special issue on object oriented programming
Knowledge-Based Systems for Engineers and Scientists
Knowledge-Based Systems for Engineers and Scientists
Expert Systems: Design and Development
Expert Systems: Design and Development
Systems Analysis and Design
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Adaptive Business Intelligence
Adaptive Business Intelligence
Information Dashboard Design: The Effective Visual Communication of Data
Information Dashboard Design: The Effective Visual Communication of Data
Toward knowledge-driven data mining
Proceedings of the 2007 international workshop on Domain driven data mining
A knowledge-based decision support system for measuring enterprise performance
Knowledge-Based Systems
Intelligent Data Analysis - Philosophies and Methodologies for Knowledge Discovery
Intelligent Data Analysis - Philosophies and Methodologies for Knowledge Discovery
A semantic fuzzy expert system for a fuzzy balanced scorecard
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Guest Editorial: A special issue on new trends in Intelligent Decision Support Systems
Knowledge-Based Systems
Using geospatial business intelligence to support regional infrastructure governance
Knowledge-Based Systems
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Business intelligence applications are supposed to provide accurate, on-time reports to business analysts and executives. However, when the latter are concerned, it seems that reports they receive just contain tabular and/or visualized data (charts, dials and other visualizations) and little or no information. No matter how well presented, data has no meaning unless it is interpreted - only then it becomes information and only then can it provide actionable insight (knowledge) into how business is doing. Since this interpretation is performed manually by users, numerous issues can affect the quality of derived information: data volume and presentation, user's concentration, previous knowledge, experience, bias, etc. A solution for automated interpretation of (business) key performance indicator values is presented in this paper. It uses domain knowledge and expert system technology to transform business data into information. Information is then presented as natural-language-like sentences and incorporated into reports. An implementation of this solution and its application as an educational tool are presented and evaluated.