Development of a Cloud-Native, Automated Data Management and Analytics Platform for Payment Risk and HR Benchmarking

The client’s existing legacy systems for payment risk management and HR data analytics are outdated, lacking scalability, automation, and support for modern data formats. Security vulnerabilities and compliance risks necessitate modernization to a cloud-based SaaS platform with advanced data processing, automation, and integration capabilities. The current HR data solutions are limited in scope, restrictive in data requests, costly, and insufficient for real-time benchmarking and strategic decision-making across diverse enterprises.

A mid-to-large financial technology company specializing in payment risk management and talent analytics solutions, serving multiple financial institutions and corporate clients.

• Implement a scalable, cloud-based data processing system supporting high-volume data ingestion and diverse data formats.
• Enhance automation in data provisioning, deployment, and management via CI/CD pipelines and infrastructure as code.
• Ensure strict data security and compliance with relevant financial regulations through advanced security measures.
• Enable integration with BI, AI, and ML tools for real-time analytics and predictive capabilities.
• Develop a user-friendly, high-performance internal analytics dashboard supporting benchmarking and data requests.
• Support continuous platform growth with flexible architecture adaptable to future technological advancements.

• Cloud migration supporting scalability and high-performance data processing using technologies such as Apache Spark and Delta Lake.
• Implementation of a layered data architecture (bronze, silver, gold) to optimize data flow and processing efficiency.
• Secure multi-tenant SaaS environment with strict data segregation and role-based access controls.
• Automated CI/CD workflows using tools like Terraform and Azure DevOps for rapid deployment and updates.
• Support for various data formats and seamless integration with BI, AI, and ML applications.
• Development of an internal analytics dashboard with real-time metrics, customizable reports, and download capabilities.
• Monthly data request and survey functionalities for ongoing data enrichment and market responsiveness.

• Third-party BI and analytics tools for enhanced insights
• External data sources for benchmarking and market data enrichment
• Security and compliance monitoring systems
• Continuous deployment tools for seamless updates

• Scalability to handle increasing data volumes and diverse data types without performance degradation
• High system availability and uptime to support enterprise operations
• Data security and privacy compliance aligned with financial industry standards
• Rapid deployment cycles to ensure timely updates and innovation
• High performance for query response times and data processing latency

The new cloud-native, automated data platform will enable the client to process larger data volumes more efficiently, reduce deployment times through automation, and improve data security and compliance. It will facilitate real-time analytics and benchmarking for hundreds of companies, covering over 400,000 employees, thereby empowering better strategic decision-making, enhancing market competitiveness, and supporting ongoing innovation in payment risk management and HR analytics.