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KPI Integration Model for Small-Scale Financial Institutions Using Microsoft Excel and Power BI

Okeoghene Elebe Chikaome Chimara Imediegwu

Subject area: Science,Engineering and Technology  ·  Area of research: Power BI

Abstract

Small-scale financial institutions (SSFIs) such as microfinance banks, credit unions, and cooperative societies often struggle with limited access to enterprise-grade performance monitoring systems. Yet, effective tracking of Key Performance Indicators (KPIs) is vital for ensuring transparency, operational efficiency, and regulatory compliance. This review paper presents an integrative model that leverages Microsoft Excel and Power BI to establish a low-cost, scalable, and user-friendly KPI framework tailored to the operational realities of SSFIs. Drawing on recent literature, industry best practices, and real-world case studies, the paper evaluates how Excel serves as a data entry and pre-processing tool, while Power BI functions as a dynamic visualization and analytics layer. The proposed model enables institutions to monitor financial health, loan portfolio quality, customer growth, and operational metrics with minimal technical overhead. Furthermore, the paper reviews implementation strategies, identifies common adoption barriers, and outlines training and data governance considerations. The goal is to provide a comprehensive reference model that empowers SSFIs to transition toward data-driven decision-making using accessible digital tools.

Keywords

KPI Dashboard, Small-Scale Financial Institutions, Microsoft Excel, Power BI, Performance Monitoring, Financial Analytics.

References

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How to cite this paper

Okeoghene Elebe, Chikaome Chimara Imediegwu "KPI Integration Model for Small-Scale Financial Institutions Using Microsoft Excel and Power BI" Iconic Research And Engineering Journals Volume 4 Issue 2 2020 Page 270-285
Okeoghene Elebe, Chikaome Chimara Imediegwu "KPI Integration Model for Small-Scale Financial Institutions Using Microsoft Excel and Power BI" Iconic Research And Engineering Journals, vol. 4, no. 2, Aug. 2020
Okeoghene Elebe, Chikaome Chimara Imediegwu (2020). KPI Integration Model for Small-Scale Financial Institutions Using Microsoft Excel and Power BI. Iconic Research And Engineering Journals, 4(2).
Okeoghene Elebe, Chikaome Chimara Imediegwu "KPI Integration Model for Small-Scale Financial Institutions Using Microsoft Excel and Power BI" Iconic Research And Engineering Journals, vol. 4, no. 2, Aug. 2020.
@article{1709613,
      author = {Okeoghene Elebe, Chikaome Chimara Imediegwu},
      title = {KPI Integration Model for Small-Scale Financial Institutions Using Microsoft Excel and Power BI},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {2},
      pages = {270-285},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709613.pdf},
      abstract = {Small-scale financial institutions (SSFIs) such as microfinance banks, credit unions, and cooperative societies often struggle with limited access to enterprise-grade performance monitoring systems. Yet, effective tracking of Key Performance Indicators (KPIs) is vital for ensuring transparency, operational efficiency, and regulatory compliance. This review paper presents an integrative model that leverages Microsoft Excel and Power BI to establish a low-cost, scalable, and user-friendly KPI framework tailored to the operational realities of SSFIs. Drawing on recent literature, industry best practices, and real-world case studies, the paper evaluates how Excel serves as a data entry and pre-processing tool, while Power BI functions as a dynamic visualization and analytics layer. The proposed model enables institutions to monitor financial health, loan portfolio quality, customer growth, and operational metrics with minimal technical overhead. Furthermore, the paper reviews implementation strategies, identifies common adoption barriers, and outlines training and data governance considerations. The goal is to provide a comprehensive reference model that empowers SSFIs to transition toward data-driven decision-making using accessible digital tools.},
      keywords = {KPI Dashboard, Small-Scale Financial Institutions, Microsoft Excel, Power BI, Performance Monitoring, Financial Analytics.},
      month = {August},
  }