GenRocket Case Study: Test Data Generation for Financial Services
公司规模
Large Corporate
地区
- Europe
国家
- European Union
产品
- GenRocket Test Data Generation
- RealTimeTestReceiver
技术栈
- RESTful web services
- JSON
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 金融与保险
适用功能
- 质量保证
- 商业运营
服务
- 软件设计与工程服务
- 系统集成
关于客户
A global payment processing and Point of Sale (POS) technology company needed a secure and efficient test data provisioning process. The company serves small, medium and large-scale businesses and processes over 79 billion transactions annually for ecommerce and point-of-sale environments in 118 countries. Their vision is to help their clients grow through innovation and the company leads by example with innovations in mobile solutions, advanced POS systems, data analytics and security solutions. When the QA team asked GenRocket to help streamline their process for preparing test data, they chose GenRocket’s Test Data Generation solution based on its speed, simplicity, data quality and use of synthetic data to ensure compliance with GDPR security regulations. GDPR defines the security requirements for any company doing business in the European Union (EU). For financial services companies, compliance is particularly important as violations may carry penalties up to 4% of global revenue. GDPR ensures data privacy and protection for all vendors and consumers and serves to build customer loyalty and trust. As a result, financial services companies around the world are acting to comply with this important standard.
挑战
To provision its test data, the QA team would mine data from the production database based on the results of functional testing to access merchant and authorization data and then manually add personal data (e.g., usernames and addresses) to avoid the possibility of exposing private information. The test data was then populated in an excel spreadsheet to be used by the automation framework for inputs and validation assertions. Using this process, data preparation was taking approximately 6 hours and was repeated every 2 weeks. The QA team was looking to replace this inefficient process with a fully automated solution for provisioning the test data required by their test automation framework.
解决方案
The QA team initially requested GenRocket to provide a solution that would automatically populate the Excel spreadsheet with test data – eliminating a manual data creation process. A script would be created to read the Excel spreadsheet and convert the generated data into a JSON file that can be consumed by the test automation tool. However, it was determined that multiple Excel spreadsheets, each with many columns, would be required to accommodate the variety of test cases and their test data requirements. Together, GenRocket and the QA team decided this approach would not fully achieve the goal of building a fully automated, time-efficient solution. GenRocket developed an alternate approach using the RealTimeTestReceiver, a component of the GenRocket Test Data Generation platform. GenRocket Receivers format the data produced by GenRocket Generators according to test data Scenarios. The RealTimeTestReceiver has the ability to pass data via RESTful web services and inject test data directly into the automation tool, thus eliminating the need for spreadsheets.
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