In this short video we will walk through how to validate data directly in a data warehouse using SQL. With SelectZero’s data quality platform, you can define and run quality checks that catch critical issues, such as missing values, incorrect formats, and missing relationships, before they impact reporting or analytics.
Case study: Rimi Baltics
Ensuring accurate and consistent master data across retail systems Case study with Rimi THE CUSTOMER Rimi Baltic is one of the largest retailers in the Baltic States, operating since 2004. The company [...]
SelectZero Named a Representative Vendor in the 2026 Gartner Market Guide for Data Observability Tools
Gartner has published its latest Market Guide for Data Observability Tools, and SelectZero is proud to be recognized once again as a Representative Vendor. We are proud to announce that SelectZero has been recognized as [...]
Release 2026.3
SelectZero release 2026.3 SelectZero 2026.3 is here, bringing a range of new features and improvements across the platform. This release focuses on deeper data quality insights, broader connectivity, and a more streamlined [...]
Release 2026.2
SelectZero 2026.2 The new version of SelectZero is packed with new features and improvements designed to make data quality management faster, smarter, and more flexible. This release introduces Standard validations functionality for [...]
Release 2025.12
Glossary term view tabs & enhancements The Glossary term detail view has been redesigned with dedicated tabs for Graph, Relations, and Assets, making it easier to explore and manage term context. The [...]
BCBS 239: How Data Observability helps to meet regulatory compliance
Following the 2007–2008 global financial crisis, it became painfully clear that many of the largest global financial services firms did not have the tools, methodology or data governance principles needed to accurately measure their [...]
