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Clarissa Falge
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Falge
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Clarissa
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PublicationTowards a Strategy Design Method for Corporate Data Quality Management(Universität Leipzig, 2013-02-28)Franczyk, BogdanLarge, multidivisional enterprises need corporate data of high quality in order to meet a number of strategic business requirements, such as enterprisewide process harmonization, integrated customer management or compliance. Therefore, many enterprises today are in the process of establishing Corporate Data Quality Management (CDQM), which requires an overarching CDQM strategy. This paper presents a method for the development and implementation of a CDQM strategy. On the one hand the method provides guidance to a CDQM team. On the other hand, for corporate executives the method ensures that the CDQM strategy is derived from their objectives and that their requirements are systematically taken into account and fulfilled. Besides the method itself, the paper illustrates the entire design process which encompasses, among others, focus group and expert interviews, participative case studies and a multiperspective evaluation.Type: conference paperVolume: 1
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PublicationData Quality Requirements of Collaborative Business ProcessesHigh-quality data is not just a competitive factor for individual companies but also an enabler for collaboration in business networks. The paper takes a cross-company perspective on data quality and identifies requirements collaborative business processes pose to data quality. A qualitative content analysis on Business Networking case studies is conducted. The results show which combinations of data classes (e.g. order data, forecast data) and quality dimensions (e.g. business rule conformity) are crucial for the different collaborative business processes in business networks. The paper interprets the results and closes with a discussion of current data quality trends for collaborative processes.Type: conference paperDOI: 10.1109/HICSS.2012.8
Scopus© Citations 30 -
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PublicationClassification and Ontology Maintenance in Agent-based Knowledge Management Frameworks: A Prototypical ApproachBeing able to create views on the document space via grouping the documents is a key functionality in intelligent document management in view of browsing and querying. Hierarchically grouped sets of Documents can be viewed as simple extensionally defined ontological concepts. In an example Knowledge Management system (KnowCat) developed at UAM, Madrid, we investigate how agents for the maintenance of this ontology (these document groupings) can be constructed. We discuss two examples: A classification agent and a maintenance agent support users and administrators of the system to keep the ontology tight and functional. The agents are tested, developed targeted toward Spanish natural language documents, which requires adapted NLP techniques.Type: conference paper