About Data Assets

Data Assets feature is designed to simplify and streamline the management of data assets within an organization.

This feature empowers users to efficiently create, manage, and analyze data assets, ensuring data quality, consistency, and traceability. Leverage advanced capabilities like easy data asset discovery and built-in PII masking for actionable data security and compliance.

Data Asset Creation #

Users have the flexibility to create data assets through below methods:

• Pre-built Data Source Templates: Choose from a range of pre-defined templates for common data sources, configure and save data assets.

• Ingestion Application Registration: Seamlessly register and manage data assets via Ingestion applications.

• ETL Application Registration: Seamlessly register and manage data assets via ETL applications.

To know more about data assets creation in Gathr, see Creating Data Assets →

Data Asset Listing Page #

The listing page is designed to make it easy for you to view all your existing data assets in an organized manner.

You can effortlessly filter, search, and sort data assets based on various criteria, making it more accessible and user-friendly.

Moreover, our natural language search option makes data asset discovery even more intuitive.

To know more about data assets listing page, see Navigating Data Assets →

Quick Summary View #

Obtain a concise overview of each data asset on the listing page, including essential metadata, data source, and high-level usage statistics.

This summary view allows users to quickly assess an asset’s relevance and significance.

To know more about the quick summary view, see View Summary →

Detailed View #

Dive into the intricate details of each data asset through a comprehensive, detailed view consisting of four distinct tabs:

• Details: This tab provides in-depth information about the data asset, including its purpose, owner, creation date, and any associated business context.

• Schema and Rules: Explore the data asset’s schema, including field definitions, data types, and transformation rules applied. This tab ensures a clear understanding of the data’s structure and modifications.

• Data Quality: Evaluate the data asset’s quality metrics, such as completeness, accuracy, and uniqueness. Identify potential issues and gain insights into data health.

• Lineage: Trace the lineage of the data asset, showcasing its origins and usage in various Gathr applications. Visualize the data flow to understand its journey and dependencies.

In summary, this feature equips organizations with a powerful toolset to effectively manage their data assets, supporting data-driven decisions and ensuring data reliability.