Titlebook: Cognition-Driven Decision Support for Business Intelligence; Models, Techniques, Li Niu,Jie Lu,Guangquan Zhang Book 2009 Springer-Verlag B

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Application Cases of FACETStious organizations in business (Section 11.1) and public health (Section 11.2) respectively, for illustration of applying FACETS to support decision making. For each specific application of FACETS, three components need to be instantiated: a data warehouse, an ontology, and an experience base.

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Die eigene Aufmerksamkeit besser steuernes of DSS, such as model-driven DSS, communication-driven DSS, and knowledge-driven DSS (Section 1.5.3), BI systems suffer from lack of cognitive decision support, despite their powerful data analysis functions. This chapter will discuss the basic BI concepts, architecture and some vendors’ BI produ

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Die Arbeit ist ein ewiger Fluss. With rich SA and mental models, a decision maker is able to understand the current decision situation, identify potential threats and opportunities, and predict the future. In this chapter, we will introduce the basic concepts and models of SA, mental models and naturalistic decision making, and t

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Konkrete Handlungsoptionen entwickeln design and development of DSS. In Chapter 3, we analyzed some important concepts and models in managerial cognition. Managers’ rich SA and mental models are two prerequisites for and likely lead to successful decisions according NDM theory. In this chapter, we will look at the role of managers’ cog

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Die eigene Aufmerksamkeit besser steuernates IS artifacts into the human cognitive process. In this sense, decision making is an integral process comprised of the human cognitive process as well as IS functionality. We use the term . (CDDP) to denote such a decision making process. In this chapter, a conceptual framework is presented in S

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Achtsamkeit als Schlüsselkompetenzific methods, algorithms, and techniques which are the implementation of the cognition-driven decision process (CDDP) model. This chapter discusses two kinds of domain knowledge used in the CDDP model: ontology and experience. A domain ontology is represented as a class tree and a class graph based