The Challenge
Our client, a government financial regulatory body, oversees the administration of a national prudential framework for banks operating in the Pacific Islands. As part of its mandate, the regulator collects extensive regulatory data (thousands of rows per licensee) on a recurring basis.
Previously, the process relied heavily on Microsoft Excel, requiring the regulatory team to manually collect, clean and consolidate large datasets before they could conduct analysis or deliver regulatory insights. This approach was time-consuming, labour-intensive and prone to error, which limited the team’s ability to focus on higher-value regulatory work.
Our Solution
Park Lane undertook an in-depth discovery process, sending a data and analytics consultant onsite to collaborate directly with the client’s prudential reporting team. We closely examined their objectives, constraints and existing workflows to identify opportunities for improvement.
Following the discovery phase, we developed a comprehensive technology roadmap that outlined the most appropriate solutions to automate and enhance data handling and quality throughout the process. Within just one week, Park Lane delivered a working prototype demonstrating fully automated data ingestion, transformation, storage and reporting for the complex prudential returns data.
During implementation, we built a bespoke document management portal using Google App Engine. The portal automates the ingestion of prudential returns data, processes it through an ETL pipeline developed in R and stores it in Google BigQuery. The regulatory team can now access real-time reports and dashboards via Google Data Studio, providing immediate visibility into regulatory data and outcomes.
Today, Park Lane manages the solution as a fully managed service and works closely with the client to introduce new features and enhancements in alignment with their evolving regulatory needs.
The Results
Reduction in Manual Overheads
The regulatory team no longer spends significant time on manual data collection and cleaning, allowing them to focus on high-value regulatory analysis and decision-making.
Faster Reporting Cycles
Processes that previously took days are now completed in seconds, enabling the timely delivery of regulatory insights and outcomes.
Improved Data Quality
Automated validation and exception reporting ensure higher accuracy, consistency, and reliability of regulatory data.
Advanced Analytics Capabilities
The structured data environment enables the application of advanced statistical techniques, providing deeper insights to support regulatory decision-making and policy development.
Ongoing Partnership
Park Lane continues to operate and support the solution as a managed service, working in close collaboration with the prudential reporting team to ensure the system remains aligned with their regulatory requirements and delivers ongoing value.
