Overview
Organizations relying heavily on Excel face a growing operational burden, limited agility, and heightened risk of errors—conditions that hinder effective decision-making and the ability to respond quickly to market changes or regulatory demands.
To address the challenges posed by decentralized, Excel-based modeling practices in the financial, insurance, reinsurance and others industries we propose a comprehensive, scalable, and cloud-native solution built on a Data Lake architecture integrated with modern AWS services. This platform not only resolves the operational inefficiencies and risks associated with manual model execution but also provides a robust foundation for automation, governance, scalability, and traceability.
Highlights
- Defines a centralized Data Lake - All models and data are managed in a unified, governed platform with full auditability
- Eliminates manual errors through standardized input validation, automatic data integration, and caching
- Cost-effectiveness at its core - Leveraging serverless components and highly cost-efficient AWS services to minimize operational expenses
Details
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