How we helped a global retail e-commerce company transform their data infrastructure for real-time analytics and improved customer experiences
Retail E-commerce
Outdated batch-processing data architecture causing delays in analytics and decision-making
Modern, scalable data pipeline with real-time processing capabilities
Our client, a leading global e-commerce retailer with millions of customers across multiple countries, was struggling with an outdated data infrastructure that couldn't keep pace with their rapid growth. Their legacy ETL processes were designed for batch processing, resulting in significant data latency issues that hindered their ability to make timely business decisions.
Key challenges included:
We developed a comprehensive data modernization strategy focused on replacing batch-oriented processes with a real-time, event-driven architecture. Our approach emphasized scalability, governance, and actionable insights to support the client's ambitious growth targets.
The data pipeline modernization by Codewise Analytics has transformed how we operate. We've gone from waiting hours for inventory and sales reports to having real-time insights at our fingertips. This has directly impacted our bottom line through better inventory planning and more responsive pricing strategies.
Our data pipeline modernization delivered significant improvements in analytics capabilities, operational efficiency, and business agility:
The result was faster business insights, improved reliability, and operational efficiency. The client was able to leverage their data assets more effectively, leading to better customer experiences and increased revenue opportunities.
Our team of experts can help you build scalable, real-time data pipelines that drive business value.