SelectZero now allows users to create fully customizable data quality dashboards with flexible layouts, visualizations, and content. Dashboards can include Test Suites, Reports, Business rules, or individual Data Objects, and are role-based to ensure relevant views for each team or business domain. Users can set favourites for quick access and explore created dashboards they have permission to view.

Note: Dashboard prior to 2025.10 has been deprecated.

Reports now support filtering by Test Case custom fields, enabling faster and easier analysis of data quality results. This enhancement allows users to create custom data quality metrics, such as Availability, Uniqueness, or Accuracy. Combined with Personalised Dashboards, teams can now easily showcase targeted data quality insights to stakeholders.

SelectZero’s automated lineage detection is now smarter and more comprehensive. The new Smart Lineage option accounts for temporary tables created and dropped within SQL scripts, ensuring more accurate lineage extraction. Lineage can now also be detected directly from procedures, with discovered relations automatically added to the platform. In addition, users can view the exact SQL statement behind each relation, including the precise source context within the script.

The scheduling engine now supports CRON-based scheduling, providing greater flexibility and precision in automating data quality processes. Users can configure Test Cases, Test Suites, and Profiling tasks to run at highly specific times and intervals, enabling more dynamic and fine-tuned execution schedules.

Custom fields now support a Required attribute, ensuring key information is always provided when creating or editing entities such as Test Cases, Catalog Attributes, or Terms. Additionally, default values can be defined to prefill fields during entity creation, streamlining data entry and improving consistency across the platform.

Catalog Datasets now support custom fields, enabling richer and more flexible metadata management. This allows users to define additional attributes and classifications, creating a more comprehensive data catalog by organizing and describing physical data assets within customized datasets.

The Catalog Object view has been redesigned for greater clarity and efficiency. Dedicated tabs for Attributes, Lineage, Test Cases, and Profilings make it easier to explore, manage, and monitor each object’s metadata and quality in one structured view.