Information quality improvement as a measure of business intelligence system benefits

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Since business intelligence systems' impact on performance is first of all long-termed and indirect, most measures of business value are not sufficiently close to immediate influence of such systems and therefore not suitable to justify investments into business intelligence systems in real business environments. Thus, measures related to increased information quality as a result of business intelligence systems introduction are commonly used. The purpose of this study is to test how much does implementation of business intelligence systems actually contribute to solving the major issues regarding information quality. Empirical data were collected through a survey of Slovenian medium and large size organizations. Quantitative analysis was carried out on the data, which related to 181 medium and large size organizations. The results of the analysis show that business intelligence systems actually have a positive impact on both segments of information quality, namely content quality and media quality. However, the impact of business intelligence systems on media quality is stronger, while the quality of content is more important for making better business decisions and providing higher business value of business intelligence systems. Thus, there is still a gap between available information quality and knowledge workers' needs, in other words - key information quality problems still exist.

Original languageEnglish
Pages (from-to)502-512
Number of pages11
JournalWseas Transactions On Business And Economics
Volume6
Issue number9
Publication statusPublished - 1 Sep 2009

Keywords

  • Analytics
  • Business intelligence
  • Business intelligence systems maturity
  • Data integration
  • Information quality
  • PLS methodology

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