In the first part of this series, the focus was on the current challenges of test data management: functionally demanding requirements, distributed data landscapes, data privacy, organizational coordination, and the question of how XDM already supports these tasks today. XDM covers the path from modeling relevant data sources to selecting
As companies strive to release software faster while ensuring stability and scalability, the need for precise, relevant test data has become crucial. UBS Hainer’s XDM with its Test Data Finder feature addresses this challenge. The tool is designed to support development and testing teams by efficiently providing test case-relevant data.
Data masking is a crucial process in software testing, particularly in the procurement of test data (TDM). It involves altering data to protect sensitive information while maintaining the data’s usability for testing purposes. Here is a look at how effective data masking can improve software testing.
To optimize the user interface (UI) for XDM, UBS Hainer recently conducted a comprehensive usability survey with several of its customers. The interviews provided valuable insights into user experiences and identified potential areas for improvement.
Digital technologies have introduced new business models that pose strategic challenges for companies, particularly in the field of Data Governance. Procuring and maintaining high-quality test data, as well as meeting software testing requirements, are critical factors in this context.
Company management must comply with mandatory regulations, such as GDPR and others. Our customers look at such externally mandated projects as a chance to enhance efficiency in software development.
This article outlines the benefits of utilizing an automated test data provisioning tool like XDM from UBS Hainer and highlights the key requirements necessary for maximizing its effectiveness.
