Companies often face a choice between several TDM solutions, including IBM Optim and UBS Hainer’s XDM. – Based on customer feedback, this article shows how the solutions differ in detail and why many companies choose XDM as a more powerful alternative.
In today’s digital era, data underpins almost every critical business decision. While many organizations view test data solely as a tool for verifying software functionality, effective test data management can drive efficiency, enhance customer experience, and spark innovation.
The rapid evolution of software development and testing will continue in 2025. And there will continue to be existing and new challenges for software developers to overcome. What are the top 7 challenges in test data procurement and how does UBS Hainer’s XDM address them?
In our interview we explore the fundamental challenge of sourcing high-quality test data on a daily basis. The good news upfront: there is an elegant solution that allows testers to focus entirely on testing, with the necessary data being generated automatically as needed.
Maintaining an ongoing dialog with users is critical to software development. A particularly successful format is the annual Test Data Days, which brings together users, prospects, and developers. This event fosters direct exchange and provides valuable insights for all involved.
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.
