Case Study

Challenge:

As the organization expanded its operations, several challenges emerged due to the limitations of its legacy data infrastructure. The reliance on outdated systems became increasingly inefficient as data volumes and complexity grew, leading to slow processing times, poor integration, and rising operational costs. These inefficiencies hindered the organization’s ability to generate insights quickly, impacting decision-making and limiting responsiveness to market trends. Additionally, existing marketing tools lacked advanced targeting and personalization features, reducing the effectiveness of campaigns and limiting customer engagement. The outdated infrastructure also required costly upkeep, diverting resources from strategic initiatives. Furthermore, the lack of scalability in the current system constrained the organization’s ability to expand its service offerings, posing a barrier to long-term growth and innovation. These combined challenges affected operational performance, customer retention, and the ability to attract new clients, ultimately threatening its competitive edge.

Solution:

The collaboration between Izicap and Intertec resulted in transformative improvements across key areas, both operationally and strategically. By migrating Izicap’s infrastructure from IBM Cloud to AWS and retiring the Cloudera HDP system, the company reduced operational costs by 20% and eliminated the need for costly on-premise hardware. The deployment of advanced marketing tools empowered merchants to create more targeted campaigns, improving customer engagement by 25% and enhancing customer loyalty and repeat purchases. Additionally, upgrading to Spark 3 and integrating Airflow into Kubernetes pods boosted data processing speeds by 30%, enabling faster delivery of real-time insights. The scalable AWS infrastructure now supports Izicap’s growing business, ensuring seamless handling of larger data volumes without compromising performance. These combined solutions have positioned Izicap for sustainable growth, improved marketing outcomes, and long-term operational efficiency.

Process Overview:

High level Architecture of  the Solution
End-to-end ETL Process, from Sources (shops / banks) to Reporting Dashboards

Project Results