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Scalable Data Pipeline and Real-Time Reporting System for Retail Analytics
  1. case
  2. Scalable Data Pipeline and Real-Time Reporting System for Retail Analytics

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Scalable Data Pipeline and Real-Time Reporting System for Retail Analytics

reenbit
Retail
eCommerce

Business Challenges in Data Integration and Reporting

The client struggled with fragmented data sources (Shopify API, Prestashop Excel files), manual data processing workflows, lack of real-time analytics capabilities, and security risks from unsecured credential management. These issues hindered timely decision-making and operational efficiency.

About the Client

A well-established fashion retailer seeking operational efficiency through integrated data systems

Key Objectives for Data Pipeline and Reporting System

  • Automate data ingestion from multiple sources including GraphQL APIs
  • Establish a centralized data warehouse for unified analytics
  • Implement secure credential management for sensitive data
  • Enable real-time business intelligence dashboards
  • Reduce manual data processing efforts by 50%

Core System Functionalities and Features

  • Automated Shopify GraphQL API data extraction via Azure Data Factory
  • Historical data migration from Prestashop Excel files
  • Centralized Azure SQL Server data warehouse
  • Power BI interactive dashboards for financial metrics
  • Azure KeyVault integration for secure credential storage

Technology Stack Requirements

Azure Data Factory
Power BI
Azure KeyVault
Azure SQL Server
GraphQL
Dimensional Modelling

External System Integrations

  • Shopify API endpoints
  • Prestashop legacy database
  • Courier service APIs
  • ERP/PIM systems

System Quality Attributes

  • High scalability for growing data volumes
  • Enterprise-grade security and compliance
  • Real-time data processing capabilities
  • Cost-effective cloud resource utilization
  • 99.9% system availability SLA

Expected Business Impact of the Solution

The implementation will reduce manual data processing time by 50%, improve data accuracy through centralized governance, enable real-time financial forecasting, enhance security compliance through Azure KeyVault, and provide self-service analytics capabilities that reduce IT dependency while maintaining cost-effective cloud operations.

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