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Data Governance – Einordnung, Konzepte und aktuelle Herausforderungen

Author

Listed:
  • Alrik Brüning

    (Chemnitz University of Technology, Department of Economics, Professur Wirtschaftsinformatik II – Systementwicklung und Anwendungssysteme)

  • Peter Gluchowski

    (Chemnitz University of Technology, Department of Economics, Professur Wirtschaftsinformatik II – Systementwicklung und Anwendungssysteme)

  • Andre Kaiser

    (Chemnitz University of Technology, Department of Economics, Professur Wirtschaftsinformatik II – Systementwicklung und Anwendungssysteme)

Abstract

Es existiert inzwischen eine ganze Reihe an Konzepten zur Data Governance mit Vorschlägen zur Ausgestaltung und konkreten Umsetzung im Unternehmen. Die jeweiligen Ansätze ordnen Data Governance unterschiedlich in die datenbezogenen Funktionen der Unternehmung ein und sehen auch für die Zuweisung von Aufgaben und Kompetenzen voneinander abweichende Alternativen vor. Wichtig ist dabei, dass Begriffe wie Data Governance, IT-Governance, Datenmanagement oder Datenqualitätsmanagement zwar in Verbindung stehen können, allerdings sehr differenzierte Funktionen mit sich bringen. Ziel des Beitrags ist darum zunächst, die Data Governance begrifflich einzuordnen und im Folgenden ausgewählte Konzepte vorzustellen. Diese können schließlich hinsichtlich der Stellung von Data Governance im Unternehmen vergleichen werden. Da die Bedeutung von Daten in Unternehmen sehr stark gestiegen und im Zuge der Digitalen Transformation und Industrie 4.0 ein weiterer Bedeutungszuwachs zu erwarten ist, beleuchtet der Beitrag schließlich auch aktuelle Herausforderungen für die Data Governance.

Suggested Citation

  • Alrik Brüning & Peter Gluchowski & Andre Kaiser, 2017. "Data Governance – Einordnung, Konzepte und aktuelle Herausforderungen," Chemnitz Economic Papers 015, Department of Economics, Chemnitz University of Technology.
    • Handle: RePEc:tch:wpaper:cep015
    as

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    References listed on IDEAS

    as
    1. Boris Otto, 2011. "Data Governance," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(4), pages 241-244, August.
    2. Vincenzo Morabito, 2015. "Big Data Governance," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 83-104, Springer.
    3. Vincenzo Morabito, 2015. "Big Data and Analytics," Springer Books, Springer, edition 127, number 978-3-319-10665-6, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Data Governance; Datenmanagement; Digitale Transformation;
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