​Closing the Loop between Test Data and Data Validation​ | iceDQ + UBS Hainer

Enterprise data migrations and CI/CD pipelines often fail at the same point — the handoff between data provisioning and validation. In this joint solution showcase, UBS Hainer and iceDQ demonstrate how their two platforms completely close that gap.

In this session, Dilfaraz, Bastian Baudisch, and Nachiket Deshmukh explore common challenges faced by modern data teams during cloud migrations, platform modernization, and CI/CD deployments. They also demonstrate how combining realistic test data provisioning with automated data validation and reconciliation can improve data reliability, reduce deployment risks, and accelerate go-live decisions.

About Companies

XDM (by UBS Hainer) UBS Hainer is a Germany-based software company specializing in data management and optimization solutions. Founded in 1997, the company focuses on areas such as test data management, data migration, and system monitoring. With a strong emphasis on innovation and automation, UBS Hainer develops tools that help organizations improve data quality, streamline processes, and enhance overall system performance.

iceDQ — iceDQ is a data reliability engineering platform that spans the entire data lifecycle — from development and raw data ingestion to transformation and final delivery. It unifies data testing, monitoring, and AI-powered observability into a single platform, enabling organizations to proactively ensure data quality, detect anomalies, and prevent issues before they impact business outcomes. By embedding reliability across development, QA, and production environments, iceDQ empowers enterprises to build trust in their data and make confident, data-driven decisions.