Toward understanding outcomes associated with data quality improvement

Volume: 193, Pages: 737 - 747
Published: Nov 1, 2017
Abstract
Business analytics is driving the way organizations compete. However, the decisions made as a result of any analytics process are greatly dependent on the quality of the data from which they are based. Scholars suggest several data quality improvement methods, and commercial software is now available that can help improve data quality. Although organizations are motivated to find ways to improve analytic capabilities and using these methods has...
Paper Details
Title
Toward understanding outcomes associated with data quality improvement
Published Date
Nov 1, 2017
Volume
193
Pages
737 - 747
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.