Hexaware Recognized in Gartner Magic Quadrant
Hexaware Recognized in Gartner Magic Quadrant
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Case Study
Streamlining the business information programs for a major bank in the US and Canada.
With Hexaware PaymatiX™, a major North American bank transformed slow, error‑prone KPI reporting into a plug‑and‑play analytics system—boosting performance under load by 87%, slashing SaaS/license costs by 20%, and doubling decision‑making speed.
Our client is a major bank in the US and Canada, renowned for its extensive operations and significant market presence. The bank manages a vast array of financial services and business operations across North America.
The client encountered multiple challenges in their business information programs that hindered their operational efficiency and decision-making capabilities:
What the Client Needed:
The client needed a banking data analytics solution to streamline its business information processes and provide a reliable, accurate source of truth for its KPI metrics.
Hexaware addressed the client’s challenges by leveraging our proprietary data analytics and data visualization in banking platform—Hexaware PaymatiX™—to optimize business and enhance the overall efficiency of business information programs:
The integration of Hexaware PaymatiX™ into the client’s ecosystem resulted in significant enhancements across various operational metrics. The platform’s advanced data, analytics, and visualization capabilities provided the following benefits:
A major bank in the USA and Canada faced significant challenges with inefficiencies in their banking KPI metrics and data transformation processes, which impacted their decision-making and operational performance. We addressed these issues by leveraging Hexaware PaymatiX™, a comprehensive data, analytics, and visualization platform. Hexaware’s solution provided a robust extract, transform, and load (ETL) layer and a plug-and-play design, facilitating a smooth integration and addressing the client’s data challenges in banking. As a result, the client achieved an 87% improvement in performance under load, a 20% reduction in SaaS and licensing costs, and a twofold increase in decision-making speed.