Enterprise Data Platform Reengineering for Scalable eCommerce Insights

The client faces issues with an overly complex and unmonitored data architecture, leading to delays in analysis due to an understaffed data team. Their existing data ecosystem includes over 1,000 redundant dashboards, resulting in high operational costs and confusion. Lack of effective data governance compromises data accuracy and consistency. The client requires a scalable, integrated data platform that supports Shopify eCommerce operations, enhances marketing insights, and facilitates long-term growth.

A rapidly growing online retailer specializing in personalized skincare products, seeking to optimize data management, reporting, and integration to support expansion and improve decision-making capabilities.

• Enhance data management capabilities to support scalable growth and real-time insights.
• Reduce reporting costs by streamlining dashboards from over 1,000 to fewer than 40, achieving over $100,000 annual savings.
• Improve data accuracy, consistency, and governance to enable reliable decision-making.
• Implement automation in data quality management and anomaly detection within ETL pipelines.
• Seamlessly integrate eCommerce platform data, particularly Shopify, into the centralized data ecosystem.
• Expand engineering resources to strengthen long-term data strategy and system support.

• Scalable data architecture supporting growth and future integrations
• Unified Data Model (UDM) ensuring standardized metrics and single source of truth
• Migration platform facilitating transition from legacy reporting tools to modern analytics solutions
• Data governance framework with policies and data catalog for quality and compliance
• Automated data quality checks integrated into ETL pipelines to detect anomalies and stale reports
• Schema management layer optimized for seamless Shopify integration
• Reporting layer capable of supporting internal analytics dashboards and external reporting needs

• eCommerce platform (e.g., Shopify) for seamless sales and product data ingestion
• Existing internal analytics dashboards and reporting tools to be replaced or integrated
• Data governance and catalog systems to ensure data quality and compliance

• Support for scalable data processing and storage to accommodate growth
• Cost-efficient reporting solution reducing expenses by over $100,000 annually
• High data quality and accuracy through automation and governance
• Real-time or near-real-time data processing capabilities
• Secure access controls and compliance with data privacy standards

The reengineered data platform is expected to substantially improve operational efficiency, reduce reporting costs by over $100,000 annually, and enhance decision-making by providing reliable, real-time insights. The scalable architecture will support business growth, facilitate seamless Shopify integration, and enable more flexible, self-service analytics for power users, ultimately driving strategic advantage in the competitive eCommerce landscape.