Data Governance and Digitalization-A Case Study in a Manufacturing Company

Barbara Krumay, David Christoph Rückel

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Digitalization poses a number of challenges for companies. In particular, enterprise and IT architectures of companies are becoming increasingly complex. Data architecture - a core element of the IT architecture - is the basic source for communication, decisions and processes. Hence, reliable data requires a homogenous data architecture controlled by guidelines and specifications (i.e., data governance). This study focuses on a requirements-based implementation of data governance. By applying a case study approach, using different data collection and evaluation methods, this study investigates a large-scale manufacturing enterprise’ approach towards data governance. Based on the data collected, recommendations for future action are provided. In particular, the relationship between corporate governance, IT governance and data governance, as well as data quality, are depicted, showing how structure and context are linked to rules, processes and policies. An important role in this context can be assigned to roles that are vital to successful data governance
Original languageEnglish
Title of host publicationPACIS 2020 Proceedings
Number of pages15
Publication statusPublished - 2020

Fields of science

  • 303026 Public health
  • 305909 Stress research
  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 502007 E-commerce
  • 502014 Innovation research
  • 502030 Project management
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 501030 Cognitive science
  • 502032 Quality management
  • 502043 Business consultancy
  • 502044 Business management
  • 502050 Business informatics
  • 503008 E-learning
  • 509004 Evaluation research
  • 301407 Neurophysiology
  • 301401 Brain research

JKU Focus areas

  • Digital Transformation

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