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Auflistung nach Autor:in "Otto,Boris"

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  • Textdokument
    Harmonizing company-wide Information Objects
    (DW2008, 2008) Schmidt,Alexander; Otto,Boris
    In 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.
  • Textdokument
    Organising Accountabilities for Data Quality Management - A Data Governance Case Study
    (DW2008, 2008) Weber,Kristin; Cheong,Lai Kuan; Otto,Boris; Chang,Vanessa
    Enterprises need corporate data quality management (DQM) that com­bines business-driven and technical perspectives to respond to strategic and opera­tional challenges that demand high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organisational issues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide account­abilities for DQM that encompass professionals from business and IT. This study examines a large organisation that has adopted an ad-hoc data governance model to manage its data. lt was found that its DQM efforts were hampered mainly by the lack of clear roles and responsibilities and the lack of mandate to carry out data quality improvement initiatives. In order to promote effective DQM, this research identifies a data governance structure with the emphasis on collaboration between business and IT to support organisations.