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Data Quality Requirements of Collaborative Business Processes

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abstract High-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 paper (English)
   
keywords Corporate Data Quality, Business Process Management, Collaboration
   
name of conference 45th Hawaii International Conference on System Sciences (HICSS-45) (Wailea, Maui, Hawaii)
date of conference 01-01-2012
title of proceedings Proceedings of the 45th Hawaii International Conference on System Sciences
page(s) 1-10
publisher IEEE Computer Society (Los Alamitos)
review double-blind review
   
citation Falge, C., Otto, B., & Österle, H. (2012). Data Quality Requirements of Collaborative Business Processes. In Sprague, R. H. (Eds.), Proceedings of the 45th Hawaii International Conference on System Sciences, pp.1-10. Los Alamitos: IEEE Computer Society.