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Harmonizing company-wide Information Objects

dc.contributor.authorSchmidt,Alexander
dc.contributor.authorOtto,Boris
dc.contributor.editorDinter,Barbara
dc.contributor.editorWinter,Robert
dc.contributor.editorChamoni,Peter
dc.contributor.editorGronau,Norbert
dc.contributor.editorTurowski,Klaus
dc.date.accessioned2019-07-11T12:50:47Z
dc.date.available2019-07-11T12:50:47Z
dc.date.issued2008
dc.description.abstractIn today's companies, particularly multi-national enterprises acting on a global scale, historically grown systems and application landscapes, as weil as processes, lead to significant problems when systems (and even employees) need to communicate with each other, i.e. when entities are exchanged across processes and organizational units. What is needed is a common language and, hence, unam­biguously and consistently defined entities that represent essential objects of a company' s environment. Tue paper at hand introduces a method that is intended to enable companies to increase the transparency on and consistency among informa­tion objects on a conceptual level. Tue scope of METIO is not limited to a one­time effort, but rather constitutes an iterative approach for a continuous perpetua­tion and improvement of a consistent set of information objects. Tue whole method is designed for application in the context of large-scale companies that, due to their size and international scope, dispose of a certain complexity and inconsistency in regard to their information objects.en
dc.identifier.isbn978-3-88579-232-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24087
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V., Bonn
dc.relation.ispartofDW2008
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-138
dc.titleHarmonizing company-wide Information Objectsen
gi.citation.endPage164
gi.citation.startPage147
gi.conference.date27.-28. Oktober 2008
gi.conference.locationSt. Gallen, Switzerland
gi.conference.sessiontitleInformationslogistik/Data Warehousing und Datenqualitätsmanagement

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