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
This article explores how XDM’s innovative approach allows organizations to generate complex synthetic datasets that seamlessly integrate with existing development processes. Discover how this powerful tool can revolutionize your test data strategy while enhancing software quality, security, and regulatory compliance.
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.
