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.
Case study: Centre of Registers and Information Systems
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 [...]
Introducing AI assistant for improved data quality validations
One of the main challenges our customers outline when talking about data validations and quality is how to define and create the validations. While creating rules and validations is a continuous process between the [...]
Release 2024.11
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 [...]
SelectZero is part of Mastercard Lighthouse FINITIV 2024 Fall Program
The Mastercard Lighthouse FINITIV program has launched its new round, with SelectZero chosen to be among 15 outstanding fintech and fintech-enabler startups. “We are excited to be a part of such a recognizable and [...]
How ensuring data quality can improve your business?
Data is an integral part of all our business processes. The activities carried out in a business process need data, and the activities produce data. So, we cannot look at business processes without data, [...]
LiTech is named a Representative Vendor by Gartner
Last month Gartner published a Market Guide for Data Observability Tools. In the report LiTech is recognized as a Representative Vendor. Gartner, a leading research and advisory company that provides insights and advice for [...]
