The company faced inefficiencies with traditional local software installations. These installations limited cost-effectiveness, centralized control, and scalability. In-person maintenance at customer sites led to high overhead costs, and software updates and maintenance lacked efficiency, impacting the company’s ability to scale effectively and manage costs.

The company transitioned to a cloud-native deployment with a modular architecture, significantly enhancing scalability, flexibility, and development efficiency. The codebase was containerized, and modular systems were deployed on Google Kubernetes Engine (GKE), allowing for streamlined updates and maintenance. Expert advisory and implementation services were provided for deploying and managing the Google Cloud Platform infrastructure. This solution reduced operational costs, improved scalability, and enabled faster, more efficient software updates, ultimately supporting the company’s growth and enhancing service delivery.

Data Empowerment: Access to high-performance data warehouses enabled analytics and self-service capabilities.

Enhanced Insights: Tailored customer experience reporting leveraged data governance for quality insights.

Risk Identification: Data modeling and machine learning identified operational risks, enhancing performance.

Operational Efficiency: Aligned financial and transactional data increased operational performance through analytics.