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Achieved 95% accuracy rate in processed data

Accounting & Consulting
Industry

Overview

KPMG, a leading professional services firm, handles massive client data volumes. Data quality is critical for providing accurate services. KPMG required robust quality engineering and testing processes to maintain data integrity.


KPMG’s team collects approximately 4TB of hourly transactional, demographic, and product data from clients using Kafka. This data is stored in Azure Data Lake.

Challenges

Managing 4TB of hourly multi-source data.
Reconciling data across sources.
Data storage and access in Azure Data Lake.
Testing reports and dashboards for errors and discrepancies.

Tools Used | Technology Leveraged

Impact

30%

Increase
in Test Coverage

25%

Improvement
in System Response Time

50%

Reduction
in Testing Effort

40%

Reduction
in Test Defect

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