Banking & Financial Services

How a Global Banking Institution Achieved 99.7% Compliance Accuracy and Reduced Regulatory Reporting Time from 72 Hours to 4 Hours

A global bank unified 20+ data systems to automate compliance reporting, improving accuracy to 99.7% and reducing reporting time by 94%.

softreetechnology.com/case-studies
banking-risk
0.0% Compliance Accuracy
99.7% Compliance Accuracy
0% Faster Reporting Cycles
Reporting Cycle Reduction, Reporting Time Improvement, Reporting Efficiency Gain
$0.0M Annual Cost Savings
Annual Cost Savings, Operational Cost Reduction, Annual Savings Generated
Use Cases
Risk Management, Regulatory Compliance Automation, AML Analytics, Business Intelligence
Industry
Banking & Financial Services
Project Type
Risk & Compliance Analytics Modernization
Scale of Operation
Managing $4.2B in assets and serving 18M+ customers across retail, SME, and institutional banking.
End Users
500+ Risk, Compliance & Executive Stakeholders
Service Provided
Data EngineeringRisk AnalyticsCompliance AutomationPower BI DevelopmentCloud MigrationAML Model DevelopmentData Governance
The Client Challenge

Business Process Challenges

A global banking institution operating across 42 countries faced growing challenges in managing risk and regulatory compliance across its diverse business units. Critical data was spread across more than 20 disconnected systems, including core banking, treasury, loan management, CRM, and compliance platforms, making it difficult to obtain a unified view of enterprise risk.

Regulatory reporting processes were heavily dependent on manual spreadsheets and required significant effort from compliance and risk teams. Generating reports for Basel III, IFRS 9, AML/KYC, FATCA, and other regulatory frameworks often took up to 72 hours, increasing the risk of reporting errors and missed deadlines.

The bank also struggled with limited real-time visibility into credit, market, liquidity, and operational risks. With increasing regulatory scrutiny and expanding reporting requirements, leadership needed a scalable analytics platform that could improve compliance accuracy, accelerate reporting, and support data-driven decision-making across the organization.

Our Approach

Our Strategic Approach

Softree designed and implemented a centralized Banking Risk & Compliance Analytics platform built on a modern cloud-based data architecture. The solution consolidated data from 20+ banking systems into a governed data lake and analytics environment, creating a single source of truth for risk and compliance reporting.

Using Azure Synapse Analytics, Azure Data Factory, Databricks, Apache Kafka, and AWS Redshift, the platform enabled real-time data ingestion, automated data transformation, and enterprise-grade analytics. Machine learning models were introduced to support AML transaction monitoring, credit risk assessment, and regulatory compliance workflows.

Power BI executive dashboards provided stakeholders with real-time visibility into key risk indicators, compliance status, and operational performance. The delivery approach focused on phased implementation, strong data governance, security controls, and seamless integration with existing banking systems to minimize disruption while accelerating value realization.

Our Solution Architecture

How we delivered it.

PA
Power Apps
Integrated Power Apps layer in the solution architecture.
PA
Power Automate
Integrated Power Automate layer in the solution architecture.
D
Dataverse
Integrated Dataverse layer in the solution architecture.
PB
Power BI
Integrated Power BI layer in the solution architecture.
S
SharePoint
Integrated SharePoint layer in the solution architecture.
A
Azure
Integrated Azure layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

The new analytics platform transformed the bank's risk and compliance operations by significantly improving reporting accuracy, operational efficiency, and regulatory readiness. Compliance reporting accuracy increased from 87% to 99.7%, while reporting cycle times were reduced from 72 hours to just 4 hours.

Automation eliminated thousands of hours of manual effort each month, reducing compliance-related workloads by 60% and enabling teams to focus on higher-value risk management activities. AML monitoring performance improved substantially, reducing false positives and achieving a 94% model precision rate.

The organization realized approximately $12.4 million in annual operational savings while maintaining zero regulatory penalties after deployment. Beyond immediate business benefits, the platform established a scalable foundation for advanced analytics, AI-driven risk intelligence, and future regulatory modernization initiatives.

Results & Business Impact

The numbers behind the rollout.

01
99.7% Compliance Accuracy
99.7% Compliance Accuracy
02
Reporting Cycle Reduction, Reporting Time Improvement, Reporting Efficiency Gain
94% Faster Reporting Cycles
03
Annual Cost Savings, Operational Cost Reduction, Annual Savings Generated
$12.4M Annual Cost Savings
Reference Tech Stack

The full integration layer.

Power Apps
Power Automate
Dataverse
Power BI
SharePoint
Azure
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FAQ

Frequently asked questions.

The platform centralizes risk and compliance data, automates regulatory reporting, monitors compliance controls in real time, and provides audit-ready dashboards. This helps financial institutions reduce manual effort, improve transparency, and stay aligned with evolving regulatory standards.
The platform can track multiple risk categories, including operational risk, credit risk, market risk, compliance risk, and fraud-related risks. Advanced analytics and automated alerts enable risk teams to identify potential issues early and take proactive corrective actions.

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What we offer

Enterprise Integration
Cloud Architecture
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Microsoft Solutions
Offshore Engineering

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