By Wolfgang König, Karl Kurbel, Peter Mertens, Dieter Pressmar
This ebook provides solutions to the query how allotted info platforms can serve administration, specially lean administration. The authors boost new theoretical insights for the way forward for decentralized businesses and provide thoughts for developing and conserving allotted details structures. The booklet includes fascinating prototypes in logistics and fiscal industries and exhibits designs and functions of workflow platforms. It deals a cutting-edge survey of the subject.
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Additional info for Distributed Information Systems in Business
Cf. , 1992b. cf. Sheth, 199 I. A Business Process Oriented Approach to Data Integration 37 We agree on the argument that top down development of enterprise-wide views is a rather complex and expensive task and that other strategies should be developed and investigated. For this purpose, we present a business process oriented strategy for data integration in section 4. Business processes that are critical to the company need to be adequately supported by information systems. Hence, studying business processes should give some insight as to which data are needed for its support.
These dependencies are not included in the local schemata but they should be visible in the global schema, since a larger domain is now described. g. derivable attributes or relationship sets). Attributes may be non-derivable in the local schemata but derivable in the global schema. Also we may have redundant relationship sets that may be eliminated in the global schema. The latter problem is treated in detail by Rauh and Stickers. In the case of database integration, another major problem is that of entity identification on the instance level.
Cf. , 1992b p. 293. cf. Sprague. 1993. pp. 208-212. t 36 Eberhard Stickel et al. 1. The complexity of the integration task is simply not manageable. The top down creation of an enterprise-wide information model is a costly and extremely time consuming project16. Analysts and designers are exposed to the full complexity of the enterprise at once. Moreover, data models created during earlier projects may not be used in this process since the structures defined there are not compatible with high level enterprise-wide views.