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This research explores how business intelligence (BI) influences decision-making, employing the Evaluation Based on Distance from Average Solution (EDAS) technique to analyse ten prominent BI tools. With the rapid expansion of data in the wake of Industry 4.0, selecting an optimal BI system has become a pivotal factor in maintaining a competitive edge. Although BI analytics is utilised by 97% of large enterprises, a well-defined assessment framework remains indispensable. By leveraging a multi-criteria decision-making (MCDM) methodology, this study scrutinises ten BI platforms–among them Tableau, Microsoft Power BI, Qlik Sense, Looker, SAP BusinessObjects, and Oracle Analytics Cloud–against six critical dimensions: user adoption, data processing, visual representation, and customer support. Results rank Oracle Analytics Cloud highest (0.86382), followed by SAP BusinessObjects (0.66845) and Looker (0.53517). Microsoft Power BI, despite 90% adoption and affordability, ranked ninth due to feature limitations, while Tableau placed sixth. The study highlights BI trade-offs–Power BI is cost-effective, Tableau excels in visualisation, and suitability depends on organisational needs.

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Enhancing Decision-Making Through Business Intelligence: An EDAS Approach to Evaluating Distance from Average Solutions

  • 会议论文

  • 发表日期：

    2026年

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  • Vamsi Kavuri,
  • Pallavi D R,
  • Mahesh Kumar Mishra,
  • C. Kalpana,
  • M. Ramachandran

摘要

This research explores how business intelligence (BI) influences decision-making, employing the Evaluation Based on Distance from Average Solution (EDAS) technique to analyse ten prominent BI tools. With the rapid expansion of data in the wake of Industry 4.0, selecting an optimal BI system has become a pivotal factor in maintaining a competitive edge. Although BI analytics is utilised by 97% of large enterprises, a well-defined assessment framework remains indispensable. By leveraging a multi-criteria decision-making (MCDM) methodology, this study scrutinises ten BI platforms–among them Tableau, Microsoft Power BI, Qlik Sense, Looker, SAP BusinessObjects, and Oracle Analytics Cloud–against six critical dimensions: user adoption, data processing, visual representation, and customer support. Results rank Oracle Analytics Cloud highest (0.86382), followed by SAP BusinessObjects (0.66845) and Looker (0.53517). Microsoft Power BI, despite 90% adoption and affordability, ranked ninth due to feature limitations, while Tableau placed sixth. The study highlights BI trade-offs–Power BI is cost-effective, Tableau excels in visualisation, and suitability depends on organisational needs.