caa a22 4500 475799275 CHVBK 20180406123733.0 cr unu---uuuuu 170329e20000301xx s 000 0 eng 10.1023/A:1008775517030 doi (NATIONALLICENCE)springer-10.1023/A:1008775517030 Wiederhold Gio Computer Science Department, Stanford University, Gates Computer Science Building 4A, 94305-9040, Stanford, CA, USA aut Information Systems that Really Support Decision-Making [Elektronische Daten] [Gio Wiederhold] Decision makers are expected to make decisions which have a positive effect on the future of their enterprises. We expect that intelligent information systems support their activities. Today, databases and web-based resources, accessed through effective communications, make information about the past rapidly available. To project the future the decision makers either have to use intuition or employ tool for prediction, and initialize such tools with information obtained from an information system to such tools. An effective information system should integrate forecasting the future, and because there choices have been made, such a system must also support the comparative assessment of the effects of alternate decisions. The complexity of an information system handling the past, and multiple futures will be great, and must be modularized with effective interfaces. We recommend the use of an SQL-like interface language to access existing tools to assess the future, as spreadsheets and simulations. Making results of simulations accessible as another contribution to integrated information systems has the potential of greatly augmenting their effectiveness and really support decision-making. Kluwer Academic Publishers, 2000 decision-support nationallicence information systems nationallicence simulation nationallicence prediction nationallicence interfaces nationallicence Journal of Intelligent Information Systems Kluwer Academic Publishers 14/2-3(2000-03-01), 85-94 0925-9902 14:2-3<85 2000 14 10844 https://doi.org/10.1023/A:1008775517030 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1008775517030 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Wiederhold Gio Computer Science Department, Stanford University, Gates Computer Science Building 4A, 94305-9040, Stanford, CA, USA aut NATIONALLICENCE 773 0- Journal of Intelligent Information Systems Kluwer Academic Publishers 14/2-3(2000-03-01), 85-94 0925-9902 14:2-3<85 2000 14 10844 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer