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 2024.11

November 25, 2024|

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 [...]

How ensuring data quality can improve your business?

August 22, 2024|

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

July 16, 2024|

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 [...]