Knowledge Discovery and Business Intelligence

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...

Recent advances on knowledge discovery and business intelligence

Information Technology (IT) is advancing rapidly. In the last years, IT costs have reduced while data storage, communication and processing capabilities have increased. In effect, vast datasets are becoming commonplace. All this data hold valuable knowledge such as trends and patterns, which can be used to improve decision making and optimize chances of success. These datasets are often highly ...

Knowledge Harvesting for Business Intelligence

Business Intelligence Systems BUSINESS DISCOVERY – A NEW DIMENSION OF BUSINESS INTELLIGENCE

This article deals with the issue of Business Intelligence (BI), especially its next generation Business Discovery(BD). This tool can help to fill the gap between traditional solutions we get from BI and standalone office productivity applications. Its users are able to forget new paths and make new discoveries. Here we want to present BD as being thoroughly complementary to traditional ERP, CR...

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...