Data Governance and Cloud Modernization for a Regional Bank

A leading American regional bank ran on legacy mainframes with fragmented data and manual batch processing under heavy regulation. Myridius executed a comprehensive data modernization program on Azure, enabling real-time fraud detection with NICE Actimize, a low-risk SAP S/4HANA migration, and a lightweight governance framework for compliance.

Key Outcomes

• Real-time fraud detection enabled through data federation for NICE Actimize.
• A low-risk migration to SAP S/4HANA through intelligent data quality.
• A lightweight governance framework ensuring regulatory compliance.

Overview

A leading American regional bank faced critical operational hurdles driven by legacy mainframe systems, fragmented data operations, and reliance on manual processes in a highly regulated environment. Data silos and inconsistent quality hindered analysis, while nightly batch runs delayed decision-making, and an upcoming SAP Financials migration carried significant risk. Myridius executed a comprehensive data modernization program, migrating the bank to Azure with a modern data lake and warehouse, implementing data federation for NICE Actimize to enable real-time fraud detection, supporting a low-risk SAP S/4HANA migration with intelligent data quality, and deploying a lightweight governance framework. As a result, the bank shifted from fragmented, manual operations to a unified, automated, proactive data landscape that streamlined operations, strengthened compliance readiness, and enabled real-time fraud detection.

Client Context

The client is a leading American regional banking institution operating in a highly regulated environment.

A modern data foundation mattered here because legacy mainframes, data silos, and manual batch processing constrained agility and made it hard to meet compliance standards, detect fraud, and prepare for a major SAP migration. What was at stake was the bank's ability to innovate, respond to regulators, and manage risk without a cohesive data governance strategy.

The Challenge

Legacy mainframe systems, fragmented data operations, and manual processes created critical hurdles in a highly regulated environment. Data silos and inconsistent quality hindered analysis, nightly batch runs delayed decisions, fraud detection grew more complex, and an upcoming SAP Financials migration carried significant risk. The desired state was a scalable, governed, cloud-native data foundation.

Consider fraud detection running against nightly batch data. Reactive measures could not keep pace, while migrating financials to SAP risked carrying over inconsistent data. Without a cohesive governance strategy, the bank lacked the agility to innovate or respond effectively to regulatory demands.

Transformation Goals

The engagement focused on north stars that connected infrastructure modernization to security, compliance, and proactive operations.

• Modernize Infrastructure: Migrate from legacy mainframes to a scalable Azure cloud environment.

• Enhance Security and Compliance: Improve fraud detection through better data federation and establish a governance framework meeting regulatory demands.

• Optimize Operations: Eliminate manual batch processing in favor of proactive, intelligent data operations.

The Solution

The engagement executed a comprehensive data modernization program, transforming operations from reactive batch processing to proactive, cloud-native intelligence. Myridius orchestrated the cloud and data foundation, embedded fraud detection and migration data quality into operations, and reimagined data management as a proactive, governed discipline. The progression moved from deploying Azure infrastructure and a data lake, to embedding fraud federation and SAP migration quality, to reimagining governance as a sustained, lightweight capability.

• Orchestrated the foundation: Migrated the bank to Azure with a modern data lake and data warehouse architecture, moving away from rigid legacy mainframes to a scalable, secure environment for advanced analytics and reporting.

• Embedded intelligence into the journey: Implemented data federation for NICE Actimize to enable real-time fraud detection, and supported a low-risk SAP S/4HANA migration with intelligent data quality processes ensuring clean, consistent data.

• Reimagined the operating model: Developed and deployed a tailored, lightweight data governance framework providing controls and standardization for regulatory compliance without administrative bottlenecks.

Governance and Trust

Because this engagement served a regulated bank handling sensitive financial data, governance and security were central. A tailored, lightweight data governance framework provided the controls and standardization needed for regulatory compliance while remaining budget-conscious and avoiding administrative bottlenecks.

Data federation for NICE Actimize embedded real-time fraud detection into operations, replacing slower reactive measures with a proactive security stance, while intelligent data quality processes ensured that data migrating into SAP S/4HANA was clean and consistent, mitigating migration risk. Together these established a culture of proactive data management where quality is maintained rather than fixed after the fact.

Results

The engagement transformed fragmented, manual operations into a unified, automated, proactive data landscape. The result was streamlined operations, stronger compliance, and real-time fraud detection.

The result:

• Streamlined operations by automating manual processes and data wrangling, reducing time for reporting and analytics.

• Established proactive data management and a lightweight governance framework ensuring regulatory compliance readiness.

• Enabled real-time fraud detection and a low-risk migration to SAP S/4HANA, with a scalable foundation for future analytics.

Technology Stack

Infrastructure and Cloud

Microsoft Azure Cloud
Provides the scalable, secure foundation

Data and Integration

Azure Data Lake, Data Warehouse
Unify and centralize the bank's data

Enterprise Applications

SAP S/4HANA
The target financials environment migrated with clean data

Security and Governance

NICE Actimize, custom lightweight governance framework
Enable real-time fraud detection and compliance

Analytics and Measurement

Data science enablement, reporting and analytics
Support advanced insight and decision-making

For a regulated regional bank, legacy mainframes and manual data are both a compliance liability and a security risk. This case shows how cloud-native, governed data turns operations proactive. This was not a cloud migration alone. It was a shift to proactive, governed data enabling real-time fraud detection and low-risk SAP migration.