RetailRetail Chain

Retail ERP Analytics Modernization

RetailERP IntegrationReal-time AnalyticsCustomer Analytics

Context

Retail Chain, a leading organization in the Retail sector, engaged our practice to address critical data and analytics challenges impacting their operations and decision-making capabilities.

Challenge

Legacy reporting system unable to scale, disconnected data from multiple store locations, and inability to analyze customer behavior and inventory trends in real-time.

Approach

As the principal consultant, I led the engagement from discovery through production, ensuring alignment with business objectives and technical excellence at every stage.

The architecture was designed for scalability, maintainability, and governance from day one. Data quality checks, lineage tracking, and audit trails were built into the solution, not added as afterthoughts.

When scale required additional resources, I assembled and guided a project-based team while maintaining full accountability for outcomes. All team members worked under my direct oversight, ensuring consistency and quality.

Delivery Ownership

This engagement followed our principal-led delivery model. I owned the strategy, architecture, and implementation, working directly with stakeholders. Team members were integrated seamlessly when needed, but accountability for outcomes remained with me throughout the engagement.

Outcomes

Modern analytics platform consolidating data from all store locations. Real-time inventory analytics, customer segmentation, and sales performance dashboards. Reduced time-to-insight from days to minutes, enabling proactive inventory management.

Technology Stack

Power BIdbtPostgreSQLAzure Data FactoryPython

Services Delivered

  • Analytics Engineering
  • BI & Visualization
  • Data Engineering