Custom attributes

Enhance your platform flexibility by defining custom fields for any glossary term or test case. With this new feature, you can capture the unique details and nuances that matter most to your organization, ensuring a fully personalized approach to data observability.

Automated data lineage

Simplify the complexity of tracking data flow with automated parsing of relations directly from SQL logs. This feature empowers you to uncover dependencies and trace data lineage effortlessly, giving you complete visibility and confidence in your data ecosystem.

Data quality scores for lineage objects

Gain instant insights into data quality with scores available for every table and column in your lineage. Simplify root-cause analysis and quickly identify propagated data quality issues, enabling proactive resolutions and trust in your data at every step.

File storage for CSV and Excel files

Easily upload and organize CSV and Excel files with support for custom directories in local storage. This feature streamlines data management for flat files, making it effortless to catalog and get overview of your data.

Profiling values in AI assistant

Leverage profiled values in our AI assistant to unlock more accurate and context-aware suggestions for data validations. This enhancement ensures a broader range of recommendations tailored to your data, allowing you to maintain quality with confidence and precision.

Custom metadata upload

Seamlessly integrate metadata from any data source into your data catalog. This feature provides a comprehensive overview of every data asset and enables end-to-end lineage visibility, giving you deeper context and enhanced control over your data.

Mass actions for business glossary

Save time and effort with the ability to add or update attributes for multiple glossary terms in bulk. This ensures efficient management of your business glossary, helping you maintain consistency and accuracy across your data terminology.

Custom directed relation types

Take control of your glossary relationships with the ability to define directional relation types. This new feature allows you to create more advanced and relevant connections between glossary terms, enhancing clarity and depth in your data relationships.

Interested in hearing more?

Release 2025.2

March 5, 2025|

Starter edition of the platform A free version of SelectZero platform for data quality management is now available, making it easier than ever to improve data reliability. More information about the functionality is available here [...]

Case study: Citadele Bank

February 10, 2025|

Ensuring data quality & regulatory compliance in banking Case study with Citadele THE CUSTOMER Citadele is a universal bank offering a wide range of banking products to retail, SME, and corporate customer base. [...]

Release 2025.1

January 31, 2025|

Sharepoint connection for Excel files You can now connect to SharePoint to use Excel files as a data source, making it easier to track and validate dynamic data. This ensures real-time issue detection [...]

Release 2024.12

December 30, 2024|

Advanced data lineage You can now view column-level lineage directly within the object lineage chart, enabling detailed tracing for individual columns. Additionally, we’ve made it easier to share and analyze lineage data with the [...]

Case study: Centre of Registers and Information Systems

December 17, 2024|

Improving data quality in Estonia's integrated e-services Case study with Centre of Registers and Information Systems THE CUSTOMER The Centre of Registers and Information Systems or RIK is a government agency under [...]