Visual Analytics in U.S. Retail: A Data-driven Business Intelligence Framework for Mapping the Retail KPI Matrix

Authors

  • Kazi Obaidur Rahman MBA (Business Analytics), Gannon University, Erie, Pennsylvania, USA.
  • Achhia Khanam MBA in Accounting & Business Analytics, Maharishi International University, Fairfield, Iowa
  • Songeta Dhar DBA (Doctor of Business Administration), Westcliff University, Los Angeles, California, USA.
  • Mehedi Hasan MBA(Accounting), American International University, Bangladesh.
  • Amir Hamza Akash MSc. (Statistics & Analytics), University of Arkansas, Fayetteville, Arkansas, USA.
  • Md Ashiqur Rahman Khan Executive MBA (Management), University of Dhaka, Dhaka, Bangladesh.
  • Shamina Sharmin Jishan MBS (Accounting), National University, Dhaka, Bangladesh.
  • Fairuz Sadaf Aishwarya MBA in MIS, International American University, Los Angeles, California, USA.

Keywords:

Retail KPI metrics, Business Intelligence, Visual Analytics, Retail Analytics, U.S. Retail.

Abstract

Visual analytics approach in mapping the KPIs (Key Performance Indicators) of US retail landscape has become indispensable. Since the US retail has become more dynamic and competitive, intensified by rapidly evolving e-commerce and changing consumer behaviors, retailers tend to rely on this real-time data-driven decision-making approach to remain competitive. Business Intelligence (BI) applications play significant roles in optimizing retail KPI mapping with visual analytics through interactive dashboards, charts, graphs, and KPI matrix.

This research paper proposes a robust framework for visual analytics in optimizing the U.S. retail KPI matrix by integrating the Business Intelligence (BI) tools. This framework supports stakeholders with valuable insights from high-velocity data streams for taking data-driven strategic decisions to stay competitive. In this article, we demonstrate how visual analytics supports stakeholders in decision-making process, enhances interpretability, and maximize outcomes by applying BI application.  

The key findings include a set of KPI matrix for a typical U.S. retail entity, interactive dashboards based on this KPIs for visualizing the entity’s operational, financial, and other business performance for taking strategic decision. Here, we integrated business intelligence tools like power BI in developing interactive dashboards, analyzing and visualizing KPIs for enhancing operational efficiency. We believe, this paper will contribute to the growing needs of academic literature on business intelligence applications in U.S. retail analytics. Besides, it enables retail investors and stakeholders to visualize the key business insights, business performance, prospects and opportunities.

References

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Published

2026-02-24

How to Cite

Rahman, K. O., Khanam , A., Dhar, S., Hasan, M., Akash, A. H., Khan, M. A. R., … Aishwarya, F. S. (2026). Visual Analytics in U.S. Retail: A Data-driven Business Intelligence Framework for Mapping the Retail KPI Matrix. Emerging Frontiers Library for The American Journal of Engineering and Technology, 8(2), 153–161. Retrieved from https://emergingsociety.org/index.php/efltajet/article/view/1098

Issue

Vol. 8 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 Kazi Obaidur Rahman, Achhia Khanam , Songeta Dhar, Mehedi Hasan, Amir Hamza Akash, Md Ashiqur Rahman Khan, Shamina Sharmin Jishan, Fairuz Sadaf Aishwarya

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.