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May 2, 2026Open Access

Dynamic Retail Performance Dashboard (DRPD): Enterprise-Grade Business Intelligence Platform for Data-Driven Decision Support

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Authors

JBJay-ar BaseNBNelmayjay BaseJAJulse Lorenz Alvior

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Overview

Randomized trial evaluates the DRPD platform for retail analytics, suggesting it improves decision-making in SMEs and academia.

Key Points

  • The aim is to design and evaluate the Dynamic Retail Performance Dashboard (DRPD) for retail performance analytics.
  • Developed using Python-based open-source tools in a modular architecture.
  • Integrated descriptive, predictive, and prescriptive analytics into a Streamlit-based interface.
  • Evaluated using real-world retail transaction data to assess effectiveness and efficiency.
  • DRPD successfully transforms raw data into actionable insights, enhancing decision-making processes.
  • Demonstrated computational efficiency through intelligent caching.
  • Implemented features like dynamic geospatial visualization and automated anomaly detection.

Cite This Study

Base et al. (2026) studied this question.

synapsesocial.com/papers/69f5952971405d493a000218https://doi.org/10.5281/zenodo.19922357
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Also Consider

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  1. 1Urban Retail Analytics: Sales Forecasting and Visualization using Power BI, Python and SQL2026
  2. 2Optimizing retail systems: using big data and power business intelligence for performance insights2025
  3. 3Real-Time Big Data Technologies in Retail: Enhancing Personalization and Operational Efficiency2025
  4. 4Operationalizing SME Growth: Developing a Low-Cost, Integrated Dashboard System for Real-Time Monitoring and Business Process Optimization2026
  5. 5Data Visualization Dashboard using Python2024