Evaluating the Impact of Power BI-Enabled Dashboards on Supply Chain
  • Author(s): Eunice Feyisayo Ogundipe
  • Paper ID: 1711326
  • Page: 1111-1116
  • Published Date: 25-10-2025
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 4 October-2025
Abstract

Global supply chains are becoming more volatile, and the traditional reporting systems are not always able to provide timely and actionable information. BI systems have become essential in solving these issues, and Microsoft Power BI has become one of the most popular tools. The paper provides a conceptual analysis of Power BI-enabled dashboards in supply chain management and creates the Visibility-Efficiency-Resilience (VER) framework. The framework proposes three interdependent domains: visibility, which includes real-time transparency of supply chain activities; efficiency, which includes cost reduction, forecasting, inventory management, etc; and resilience, which involves the capacity to predict disruptions and act promptly. Using available literature, this paper explores how dashboards can be used to enhance the performance of the supply chain and also highlights the challenges that include dependency on vendors, data governance, information overload, and unequal access between large companies and SMEs. Finally, this paper offers a foundation for future empirical studies and offers practitioners a guide on how to make the most of dashboards through integration governance and cultural preparedness.

Keywords

Power BI, supply chain management, business intelligence, dashboards, digital transformation

Citations

IRE Journals:
Eunice Feyisayo Ogundipe "Evaluating the Impact of Power BI-Enabled Dashboards on Supply Chain" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 1111-1116 https://doi.org/10.64388/IREV9I4-1711326-7774

IEEE:
Eunice Feyisayo Ogundipe "Evaluating the Impact of Power BI-Enabled Dashboards on Supply Chain" Iconic Research And Engineering Journals, 9(4) https://doi.org/10.64388/IREV9I4-1711326-7774