Supporting America’s Banking System through Modernized Regulatory Data Strategies

Overview

A federal financial regulator’s Chief Data Officer, responsible for the data from 4,000+ banks, recognized that the quality of its data and systems was critical to delivering on its mission.

The client needed to modernize its data environment to better enable data delivery to reduce time, operationalize data management, modernize architecture, and increase their ability to respond quickly to future product enhancements.

Our Approach

RiverNorth provided data strategy, data architecture, and data analysis to develop an enterprise data management and cloud migration strategy. This included analyzing the inventory of current mainframe applications, including the data elements, to provide recommendations for portfolio catalog updates (specifically, candidates and priorities for mainframe migrations to the cloud). We identified and classified all data (both at rest and in motion) stored on the mainframe, assessed the impact of migrating each dataset to the cloud (or the impact on other systems if a mainframe application is moved to the cloud), and created a migration roadmap for mainframe datasets.

Results

In just three months, we developed a repeatable framework for analyzing, prioritizing, and migrating 60+ legacy applications (including business processes, data flows, and application interfaces).  

10 Mainframe Applications + 2 Data Warehouses + 1 API will cycle through the framework for regular updating

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10 Mainframe Applications + 2 Data Warehouses + 1 API will cycle through the framework for regular updating ➤

This resulted in a modernized to-be data architecture and data migration roadmap detailing which applications should be retired, re-platformed, or reimagined. Using this framework, we have documented the client’s legacy application data inventory, identified highly coupled and cohesive data sets, and recommended sequencing of legacy applications for migration to the Azure Cloud. In Total 10 mainframe applications, two data warehouses, and one API will cycle through the framework for regular updating.