Unleashing the Power of Test Data Automation: Explore Two Real-World Use Cases for Financial & Energy Sectors

Discover how GenRocket’s innovative platform combines enterprise-class scalability, dynamic data generation, and seamless integration to deliver synthetic data for any test case.

In this insightful video series, GenRocket’s CEO Garth Rose introduces the concept of Test Data Automation (TDA) and how it addresses the limitations of traditional Test Data Management (TDM). This brief series also showcases real-world use cases from the financial and energy sectors, demonstrating the transformative power of GenRocket’s platform.

The Limitations of Traditional Test Data Management

Traditional TDM relies on copying, subsetting, and masking production data to provide data for tests. While this approach can provide positive data with referential integrity, it falls short in several key areas:

• Inability to generate new or unique data
• Lack of negative data
• Limited edge case data (only 2-3%)
• Difficulty in creating data based on specific rules and conditions

To compensate for these gaps, teams often resort to manually entering data or creating scripts, which is time-consuming, labor-intensive, and does not scale effectively.

The Test Data Automation Paradigm

GenRocket proposes a new paradigm: Test Data Automation (TDA). TDA enables the generation of comprehensive test data, including positive data with referential integrity, unique data, negative data, and more. The platform’s tagline, “any volume, any variety, and any formatted data directly integrated into your pipeline,” encapsulates its core capabilities.

Key Features of GenRocket’s TDA Platform

• Over 700 data generators for diverse data types and calculations
• Support for 100+ data formats, including SQL databases, web services, fixed file formats, and message formats
• Seamless integration with popular test automation tools and CI/CD pipelines

Real-World Use Cases

Financial Sector

1. Global Network: GenRocket enabled the generation of over 6,000 data combinations for functional testing of deposit account origination software, maximizing coverage and increasing test runs.
2. Global Fraud Solution: By setting up controlled data patterns and scaling data volume, GenRocket increased coverage from 30% to 90% and reduced cycle time from 16 days to less than 2 hours.
3. Instant Credit Check Process: GenRocket generated 750 accounts with 40+ test cases per sprint, saving 1,200 hours during the first nine months of test operations.
4. General Ledger Accounting System: Synthetic data was generated for 60,000 rules associated with five source systems, validating 100% of rules and identifying defects early in the development process.

Energy Sector

GenRocket transformed data provisioning for an advanced meter infrastructure project by:

• Enabling autonomous creation of extensive meter data
• Accelerating data generation by 300% compared to Python scripts
• Ensuring referential integrity and full coverage of meter reading scenarios across 240 million rows of data

As a result, the team identified four times more defects in functional testing and 100% more performance defects, demonstrating the power of shift-left testing and increased productivity.

Conclusion: Revolutionize Your Organization by Addressing the Limitations of Traditional Test Data Management

GenRocket’s Test Data Automation platform revolutionizes test data management by addressing the limitations of traditional TDM. With its enterprise-class scalability, dynamic data generation capabilities, and seamless integration with test environments, GenRocket empowers organizations to maximize test coverage, reduce cycle times, and realize significant cost savings.