Data Quality Engineering

Getting your data right 

Overview

Reliable outcomes start with accurate, consistent data – from ingestion to insight.

Data leaders know being truly data-driven means leaving nothing to chance. At QKTech we leverage Datagaps to automate data profiling, rule-based validation, and exception handling. Using Python bot-driven workflows, our services enable up to 2x productivity gains, empowering teams to identify issues early and optimize resource allocation.  

Draw on QK for data quality assurance for your post-merger integration, complex data integrity problems, and AI data foundation data pipelines, We partner with you to drive operational excellence and faster business growth. 

Thought Leadership

See Results in What Matters

Focus areas

Ensuring data quality and compliance from migration to analytics

Application & cloud migration validation

We reduce data errors up to 80 percent by addressing the entire migration journey. From schema comparison to application-level checks, real-time anomaly detection minimizes downtime and speeds up delivery by 40%, whether moving on-prem to cloud or on-prem to on-prem. 

Enterprise data warehouse quality

Our automated checks reduce manual reconciliation by 65%, and ongoing reporting guarantees 99.99% data accuracy for analytics. We monitor ETL pipelines to ensure data completeness and consistency across billions of records.  

Continuous data pipeline quality & profiling

Real-time profiling and quality contracts detect anomalies instantly, cutting data incidents by up to 80%. Our scalable validation supports pipelines processing billions of records daily with low latency. Automated alerts ensure quick responses, keeping data fresh and reliable for mission-critical processes and analytics. 

Enterprise test data management & compliance

Our persistent storage and reporting simplify audits. We streamline test data provisioning with automated masking and subsetting, cutting setup time by 75%. Our compliance features support GDPR and HIPAA, protecting sensitive data, for secure, realistic testing in complex enterprise environments. 

Finacle migration data validation & compliance

We deliver 100% auditability and regulatory compliance. Automated workflows reduce the manual process vulnerable to errors, driving down post-migration issues up to 70%. Rigorous data mapping ensures zero data loss even when migrating millions of sensitive banking records. 

Features

Key features

Ensuring seamless data quality and assurance from ingestion to insight. 

1

AI-powered data quality and profiling

2

Real-time data pipeline monitoring

3

Schema comparison and transformation validation

4

Automated test data management

5

Compliance-ready archiving and reporting

6

Lightweight integration with existing data platforms

7

Scalable for billions of records

8

Sub-second latency for anomaly detection

9

End-to-end support for migrations and analytics enablement

Customer Benefits

Data You Can Depend On — At Enterprise Scale

Enterprises trust us to deliver the right data at the right time. With proven AI-led tools and decades of data assurance expertise, we help clients drive analytics readiness, meet compliance goals, and scale AI adoption with confidence. 

99%

improvement in data timeliness

95%+

data completeness

99%+

accuracy and consistency across pipelines

Lower compliance risk and faster audit readiness

40%

reduction in testing effort

Reliable data foundation for AI and analytics adoption

SUCCESS STORIES

Challenges we’ve met

Global Life Insurance Giant Achieves Seamless eBaoTech Migration with QualityKiosk’s GenAI-Driven Data Validation

Global Life Insurance Giant Achieves Seamless eBaoTech Migration with QualityKiosk’s GenAI-Driven Data Validation

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