Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 16, 2025International Journal of Advances in Applied SciencesOpen Access

Optimizing retail systems: using big data and power business intelligence for performance insights

View Full Paper
Ask AI
Bookmark
Share

Authors

HQHuu Dang QuocHVHà Lê Việt

Discussion

Loading...

Member takes

Overview

Analysis reveals enhanced inventory control and customer behavior insights in retail systems, suggesting improved decision-making.

Key Points

  • The study demonstrates improved inventory control and customer behavior insights leading to better business performance.
  • Using the streaming extract transform load model enables real-time data aggregation for informed management decisions.
  • Implementing a data visualization system allows managers to easily monitor and analyze retail data efficiently.
  • The research outlines the proposed data structure and challenges businesses face when deploying such models.

Cite This Study

Quoc et al. (2025) studied this question.

synapsesocial.com/papers/68d4565b31b076d99fa5b47fhttps://doi.org/10.11591/ijaas.v14.i3.pp945-954
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1DESIGN AND IMPLEMENTATION OF A BUSINESS INTELLIGENCE SYSTEM USING MICROSOFT POWER BI2026
  2. 2A Study on the Role of Data Analytics in Improving Sales Performance in Retail2026
  3. 3ADAPTIVE BIG-DATA MANAGEMENT OF SMART RETAIL ENTERPRISES2025
  4. 4Real-Time Big Data Technologies in Retail: Enhancing Personalization and Operational Efficiency2025
  5. 5Business Intelligence applied to inventory management: case of a small retail company2024