Debayanmal2002-official/Afficionado-Roasters-BI-Dashboard: End-to-End Business Intelligence Solutions for Retail Management: A Case Study on Specialty Coffee Roasters

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Autore principale: DEBAYAN MAL
Natura: Recurso digital
Pubblicazione: Zenodo 2026
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author DEBAYAN MAL
author_facet DEBAYAN MAL
contents <p>This paper explores the application of data science methodologies to retail transactional data. By leveraging a dataset of over 200,000 transactions, we developed a modular Business Intelligence (BI) dashboard to identify revenue drivers and optimize menu offerings through Pareto analysis and quadrant-based categorization. The analysis successfully identified a 42.9% revenue concentration among core products, providing a data-driven roadmap for menu simplification.</p>
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publishDate 2026
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spellingShingle Debayanmal2002-official/Afficionado-Roasters-BI-Dashboard: End-to-End Business Intelligence Solutions for Retail Management: A Case Study on Specialty Coffee Roasters
DEBAYAN MAL
<p>This paper explores the application of data science methodologies to retail transactional data. By leveraging a dataset of over 200,000 transactions, we developed a modular Business Intelligence (BI) dashboard to identify revenue drivers and optimize menu offerings through Pareto analysis and quadrant-based categorization. The analysis successfully identified a 42.9% revenue concentration among core products, providing a data-driven roadmap for menu simplification.</p>
title Debayanmal2002-official/Afficionado-Roasters-BI-Dashboard: End-to-End Business Intelligence Solutions for Retail Management: A Case Study on Specialty Coffee Roasters
url https://doi.org/10.5281/zenodo.19346843