This research paper aims at examining the effects of Business intelligence assessment on decision support systems of enterprise systems. The rationale for the study aims at understanding how BI capabilities affect decision making in organizations. The approach used in the paper included the analysis of prior works to build a strong research framework. Questionnaire was developed and mailed to IT Managers, Chief Information Officers and IT Project Managers of the Fortune 500 firms and received a total response rate of 41.90%, which was considered valid. To determine the key BI components and their relevance, an examination of the survey data was conducted with the help of factor analysis and hypothesis testing. Our results showed that the evaluation of BI capabilities plays a vital role in improving decision-support settings, as indicated by the Wald-Wolfowitz test and factor analysis. The study revealed six major factors that constitute 73.917% of the variation and are crucial to determine the intelligence levels of ES. These results highlight the importance of systematic BI assessment for enhancing organizational decision-making and lay the groundwork for creating better instruments to investigate and foster BI proficiency in ES.
Keywords
Business Intelligence, Knowledge, Knowledge Management, Business Analytics, Big Data, Decision Support Systems, Information Technology and Data Analysis Methodologies.
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Arulmurugan Ramu
School of Mathematical and Computer Sciences Engineering, Heriot-Watt University, Kazakhstan.
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Arulmurugan Ramu, “Assessing the Impact of Business Intelligence on Decision Support Environments in Enterprise Systems”, Journal of Enterprise and Business Intelligence, vol.5, no.2, pp. 076-085, April 2025. doi: 10.53759/5181/JEBI202505008.
