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Development of Cloud-Based Business Intelligence Platform for Retail Analytics
  1. case
  2. Development of Cloud-Based Business Intelligence Platform for Retail Analytics

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Development of Cloud-Based Business Intelligence Platform for Retail Analytics

nix-united.com
Retail
Consumer products & services
eCommerce

Inefficient Marketing Campaigns Due to Limited Data Insights

The client lacks detailed analytics capabilities for marketing activities, particularly in coupon distribution to loyalty members. Current systems prevent effective audience segmentation, campaign performance tracking, and demographic analysis, leading to suboptimal marketing ROI and customer engagement.

About the Client

A large supermarket chain specializing in groceries and home goods seeking data-driven marketing optimization

Key Objectives for BI Platform Implementation

  • Establish scalable cloud infrastructure for automated data processing
  • Implement real-time marketing analytics dashboards
  • Enable demographic segmentation and audience profiling
  • Optimize campaign performance tracking and reporting

Core System Functionalities and Features

  • Automated data ingestion from multiple sources (POS, loyalty programs, email systems)
  • ETL pipeline for data cleaning and transformation
  • Three-tier dashboard system (executive overview, marketing analytics, demographic insights)
  • User role-based access control for different stakeholders
  • Scheduled and on-demand reporting capabilities

Technology Stack Requirements

AWS
Looker
LookML
Amazon Redshift
AWS Glue
Amazon S3
Lambda

System Integration Needs

  • Loyalty program database
  • Email marketing platform
  • Point-of-sale (POS) systems
  • Customer relationship management (CRM) system

Non-Functional Requirements

  • Horizontal scalability for growing data volumes
  • 99.9% system availability SLA
  • Role-based data security and encryption
  • Sub-second query response times for dashboards

Expected Business Impact of BI Platform Implementation

The solution will enable data-driven marketing decisions through real-time insights, resulting in optimized campaign performance, improved customer segmentation, and increased ROI. Enhanced analytics capabilities will support 20% faster decision-making processes and 15% higher marketing campaign effectiveness through targeted audience profiling.

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