Development of a Scalable Data Analytics and Visualization Platform for eCommerce Business

The client faced difficulties in aggregating multiple data sources, generating real-time insights, and visualizing complex customer behavior patterns, hindering data-driven decision making and operational efficiency.

A mid-sized eCommerce retailer aiming to optimize data insights and customer analytics to enhance sales and marketing strategies.

• Implement an integrated analytics dashboard capable of real-time data visualization.
• Enable segmentation and detailed analysis of customer behaviors and purchase patterns.
• Improve data accessibility across departments to support rapid decision-making.
• Achieve scalable infrastructure that can handle increasing data volumes, aiming for a 50% reduction in report generation time.

• Real-time data ingestion from multiple sources including transactional systems, website analytics, and third-party APIs.
• Customizable dashboards with drag-and-drop components for non-technical users.
• Advanced visualization features such as heatmaps, cohort analysis, and sales funnel tracking.
• Customer segmentation and behavior profiling tools.
• Automated report scheduling and alerting mechanisms.
• Secure role-based access control to ensure data privacy.

• ECommerce platforms and CMS for transactional data
• Website analytics tools (e.g., Google Analytics)
• CRM systems for customer data
• Third-party marketing platforms for campaign data

• System should support a data volume increase of at least 2X annually without performance degradation.
• Dashboard response time under 3 seconds for complex data queries.
• 99.9% uptime SLA with disaster recovery protocols in place.
• Compliance with data privacy standards (e.g., GDPR).

The implementation of the analytics platform is expected to reduce report generation time by up to 50%, enhance data-driven decision making across departments, and improve targeted marketing efficiency, leading to increased sales and customer retention.