Explore hierarchical asset view - Precisely Data Integrity Suite

Data Integrity Suite
Product
Spatial_Analytics
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2026

The hierarchical catalog view displays your technical and business assets in a tree structure that mirrors your actual data organization. This view lets you see the complete context and relationships between your data assets in a single, organized interface. The typical hierarchy for technical assets follows this structure: Datasource > Schema > Dataset > Field.

About the hierarchy structure

Each level in the hierarchy represents a different type of asset:
  • Datasource (Top level): The root connection representing your external or internal datasource, such as Snowflake, Databricks, or Amazon S3.
  • Intermediate elements: Structural components that uniquely identify asset locations but do not fall into the datasource, dataset, or field categories. Examples include schemas, databases, folders, and other organizational containers. These elements provide essential context for understanding asset location.
  • Dataset (Table level): A logical grouping of data extracted from a datasource, typically representing a table or data collection.
  • Field (Column level): Individual data attributes or columns within a dataset.
  • For example, in the path DWH > core_warehouse > curated > Customer_Data, both core_warehouse and curated are intermediate elements that provide context for the Customer_Data dataset.
  • Examples of intermediate elements in your data structure are:
    • Schemas (in relational databases)
    • Databases (in multi-database systems)
    • Folders (in file systems)
    • Namespaces (in knowledge graphs)
    • Organizational containers (in taxonomy trees)
    • Any other structural level that provides context for asset location

Use the Asset Location filter

The Asset Location filter provides a hierarchical tree view that allows you to navigate and filter assets by their parent-child relationships. It offers powerful features to help you find exactly what you need.

  1. Go to Catalog and select one of the main tabs to view assets with hierarchical structure:
    • Datasets: Explore tables and data collections within your datasources, displayed with their full hierarchical paths.
    • Fields: Examine individual columns within your datasets, showing their complete location hierarchy.
    • Technical assets: View technical assets configured for your workspace, displayed with hierarchical relationships.
    • Business assets: View business assets configured for your workspace, displayed with hierarchical relationships.
    Note: The Asset Location filter is not available for the Datasources tab, as datasources are the top level of the hierarchy.
  2. Locate the Asset Location filter on the filter panel.
  3. Review the tree structure showing all available datasources and their nested elements.
  4. Expand and collapse branches by clicking the expand arrow next to any item to reveal or hide its child elements.
  5. Select one or more items in the hierarchy to filter the displayed assets.
  6. Use multi-select to view assets from different branches at the same time and compare assets across your data structure.
  7. Search within the Asset Location filter by typing in the search box to quickly find specific locations without manually expanding all branches. Use the full hierarchical path to find assets with common names. For example, search for "DWH > core_warehouse > Customer_Data" to locate a specific Customer_Data dataset.
  8. Track your navigation path through the hierarchy to keep navigation transparent and easy to understand.
  9. Verify that the main view updates to show only assets that match your selected location filters.
  10. To clear the filter, click the Clear button or deselect all items.
You've successfully used the Asset Location filter to navigate and filter your assets. The displayed assets now reflect your selected hierarchical locations, and you can expand, collapse, search, and multi-select to find exactly what you need.

Filter assets by type, status, quality, governance, and custom attributes

Use filters to narrow your asset views beyond hierarchical location. Combine multiple filters to find exactly the assets you need. Each filter narrows your view by different criteria.

  • Asset Type filter: Filter by asset classification (Datasource, Dataset, Field, or custom technical types). Use this when you know the asset type but not its location in your hierarchy. This filter works across Datasets, Fields, Business assets, and Technical assets.
  • Status filter: Filter by asset lifecycle stage. Common statuses include Certified (production-ready), Draft (work in progress), and Under Review (pending approval). Use this to focus on assets at a specific maturity stage or identify what needs attention.
  • Quality Score filter: Filter by data quality metrics (Good, Average, or Poor). Use this to identify which datasets meet your standards and which need remediation. This helps you prioritize data quality work and assess asset reliability.
  • Governance Score filter: Filter by governance score ranges to find assets meeting your compliance requirements or spot governance gaps. Use this to ensure your data landscape aligns with organizational policies.
  • Custom fields filter: Filter by custom field values specific to your asset types (business unit, cost center, data owner, or other attributes). This gives you granular control over your asset views.