QKTech Delivers Enterprise-Scale Data Quality Assurance for a Leading UAE Bank
Industry & Segment
Banking & Financial Services
Objective
Ensure seamless, accurate, and audit-ready migration of 800+ ETL pipelines without disrupting ongoing operations for a leading UAE-based financial institution.
Client Overview
The client is a leading financial institution in the UAE, recognised for its customer-centric innovations and strong market presence. As part of its digital transformation journey, the client aimed to modernize its enterprise data infrastructure, enhancing performance and accelerating insights without disrupting ongoing operations.
The heart of this transformation involved migrating hundreds of critical ETL pipelines from SAP BODS v4.2 to v4.3. The stakes were high: any data inaccuracy or downtime risked delaying regulatory reports, MIS dashboards, and other core business operations.
The Challenge
Legacy System Performance
The existing SAP BODS v4.2 setup had become inefficient. ETL jobs frequently exceeded overnight batch windows, delaying key business reports.
Limited Data Trust
Manual validation processes led to data inconsistencies and reduced stakeholder confidence in data accuracy.
Siloed Data Sources
Over 40 upstream systems with separate owners created integration challenges and hindered consistent validation.
Inflexible Validation Approach
Traditional QA methods could not scale to 800+ ETL entities, increasing the risk of migration errors and schedule delays.
Solution Overview
Assessment & Migration Readiness
Analyzed 800+ ETL entities and defined a 100% coverage strategy for seamless SAP BODS v4.2 to v4.3 migration.
Accelerator-Driven Validation
Deployed an AI‑enabled validation platform to automate data profiling, anomaly detection, and drift monitoring across 40+ data sources.
Automation & AI-Led Rule Generation
Auto-generated validation rules using AI-based schema mapping to eliminate manual scripting and improve testing speed.
End-to-End Data Integrity & Performance Monitoring
Validated data at row, column, and table levels using high-speed hashing with real-time ETL performance tracking.
Business Continuity & Governance Assurance
Executed zero-downtime migrations, preserved schema integrity, and delivered audit-ready dashboards for compliance teams.
Results Achieved
100%
Data coverage. Validated every row, column, and transformation across 800+ entities to ensure complete migration accuracy.
30%
Reduction in QA effort. Automation-driven validation and AI-based rule generation streamlined the manual workload.
0
Disruptions during go-live. All ETL jobs completed on schedule, ensuring uninterrupted MIS and regulatory reporting.
7-Hour
ETL completion window achieved. Optimized data flows are now complete overnight, ensuring fresh dashboards every morning.
Business Impact
Improved data freshness
Overnight ETL pipelines now run within the 7-hour batch window, enabling timely insights for business users.
Enhanced trust in analytics
Accurate and consistent data validation rebuilt stakeholder confidence in MIS and regulatory dashboards.
Performance assurance
Early performance testing confirmed that new pipelines could sustain required loads without degradation or downtime.
Stronger governance and compliance
Audit-ready validation artifacts ensured traceability and supported internal and external audit requirements.
At QKTech, data migration and quality assurance sits under Digital Reliability, one of the six pillars of our Reliability OS for Enterprises, which helps enterprises ship AI agents and modern platforms without the risk.
Migrating ETL pipelines or modernizing a data platform? Schedule a free consultation with our quality engineering team.
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