BUSINESS PROCESS MODELING TOWARDS DATA QUALITY ASSURANCE An Organizational Engineering Approach

نویسندگان

  • Hugo Bringel
  • Artur Caetano
  • José Tribolet
چکیده

Data is handled everyday by information systems and its inherent quality is a fundamental aspect to operational and support business activities. However, inappropriate data quality may lead to economic and social problems within the organizational context. This paper addresses how to syntactically and semantically ensure data quality at information entity level. To do so, we define a business process-modeling pattern for describing the features required to ensure and validate business object data using a conceptual data quality attribute model. This pattern makes use of object-oriented concepts such as inheritance and traceability and is described as an extension to the Unified Modeling Language. A case study is presented to exemplify the

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تاریخ انتشار 2010