Shaping Consumer Goods Supply Chain Decisions with Business Intelligence Analytics: A Qualitative Case Study

Power BI, a robust business intelligence tool, and widely utilised in big data analytics, has garnered attention for its potential to revolutionise decision-making processes. However, its role in shaping supply chain analytics decisions within the fast-moving consumer goods (FMCG) industry in developing nations remains less investigated. This qualitative case study explored the experiences of supply chain managers in the Nigerian FMCG sector, investigating the adoption, significance, and challenges associated with Power BI utilisation. Semi-structured personal interviews were conducted, transcribed verbatim, and analysed thematically. Findings showed that the integration of Power BI in supply chain management offers myriad benefits, including intuitive usability, visually engaging data presentation, user-friendly dashboards, strong data governance with security features, alongside the ability to visualize vast datasets. Furthermore, the study reveals how Power BI influences decision-making processes by enhancing business visibility, facilitating demand forecasting through reliable data insights, understanding customer behaviour, and fostering higher-quality decision-making across supply chain functions. Nonetheless, challenges such as data integration complexities, data quality issues, organizational silos, high infrastructure costs, and suboptimal data visualization practices hinder effective BI utilization in supply chain operations. This research offers valuable insights for FMCG supply chains in developing nations, industry practitioners, and policymakers alike.

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Publication Details

Journal
International Journal of Engineering and Advanced Technology Studies
Published
2025-01-15
DOI
https://doi.org/10.37745/ijeats.13/vol13n11321
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Shaping Consumer Goods Supply Chain Decisions with Business Intelligence Analytics: A Qualitative Case Study

Eno Aniefiok Affiah, John Nsikan, Kamson B Oluwatomiloba, Onajite Uwhubetine Godfrey et al.
International Journal of Engineering and Advanced Technology Studies
Big Data and Business Intelligence
article

Shaping Consumer Goods Supply Chain Decisions with Business Intelligence Analytics: A Qualitative Case Study

Eno Aniefiok Affiah, John Nsikan, Kamson B Oluwatomiloba, Onajite Uwhubetine Godfrey, Jonathan Omojirhevwere Orhorho
article en

Abstract

Power BI, a robust business intelligence tool, and widely utilised in big data analytics, has garnered attention for its potential to revolutionise decision-making processes. However, its role in shaping supply chain analytics decisions within the fast-moving consumer goods (FMCG) industry in developing nations remains less investigated. This qualitative case study explored the experiences of supply chain managers in the Nigerian FMCG sector, investigating the adoption, significance, and challenges associated with Power BI utilisation. Semi-structured personal interviews were conducted, transcribed verbatim, and analysed thematically. Findings showed that the integration of Power BI in supply chain management offers myriad benefits, including intuitive usability, visually engaging data presentation, user-friendly dashboards, strong data governance with security features, alongside the ability to visualize vast datasets. Furthermore, the study reveals how Power BI influences decision-making processes by enhancing business visibility, facilitating demand forecasting through reliable data insights, understanding customer behaviour, and fostering higher-quality decision-making across supply chain functions. Nonetheless, challenges such as data integration complexities, data quality issues, organizational silos, high infrastructure costs, and suboptimal data visualization practices hinder effective BI utilization in supply chain operations. This research offers valuable insights for FMCG supply chains in developing nations, industry practitioners, and policymakers alike.

International Journal of Engineering and Advanced Technology StudiesVol. 13(1)
Openalex Percentile: Top 88%
Big Data and Business Intelligence
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Shaping Consumer Goods Supply Chain Decisions with Business Intelligence Analytics: A Qualitative Case Study — Eno Aniefiok Affiah, John Nsikan, et al. · International Journal of Engineering and Advanced Technology Studies (2025) | TGRS Research Map | TGRS