Browsing assets and understanding asset hierarchy - 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 Data Integrity Suite helps you explore and validate data across your datasources, datasets, and fields. You can visualize score indicators and drill into details to ensure your data meets quality and governance standards.

Getting started:

  1. Go to Catalog and choose one of the main tabs:
    • Datasources: View and manage your datasources.
    • Datasets: Explore the tables and data collections within your datasources.
    • Fields: Examine the individual columns or attributes within your datasets.
  2. The Catalog offers two primary views:
    • Card view: Displays assets as tile cards with:

      • Asset name
      • Asset type
      • Asset location
      • Field count
      • Score badges (Quality and Governance)
      • Status indicator (such as, Certified, Draft, etc)
    • List view: Presents assets in a tabular format with sortable columns:

      • Asset name (Datasource, dataset or field)
      • Quality Score
      • Governance Score
      • Status
      • Asset type
      • Asset location (Hierarchical path: Database > Schema > Dataset > Field - for dataset and fields)
  3. Regardless of the view you choose, you can access detailed information about each asset:
    • In Card View: Click a card to open a quick detail panel on the right side of your screen. This panel provides a comprehensive view of the asset's description, type, full location, business terms, and a list of its fields.
    • In List View: Score columns display numeric percentages alongside color-coded indicators. Colors map to score bands:
      • Green: Good (e.g., 90-100%)
      • Orange: Average or Caution (e.g., 80-90%)
      • Red: Poor (e.g., 0-80%)
      • The list view also include columns for Status (e.g., Certified, Draft, Under Review) and Datasource Type (e.g., Snowflake, Databricks, Amazon S3).

Locating assets with precision

To help you find the exact data asset you need, especially in complex environments with many similarly named items, there are two options:
  • Full hierarchical asset paths: You will see the complete path for each asset, showing its lineage from the top level down to the specific item. This eliminates ambiguity when multiple assets share the same name.
    • Format:Database > Schema > Dataset > Field (or relevant hierarchy for datasources or datasets).
    • Example: Instead of just seeing "Customer Data," you might see:
      • DWH > core_warehouse > curated > customer data
      • HumanResources > customer_insights > customer data
    • Display locations: This full path is displayed in search results, autocomplete suggestions, both Card and List views within the Catalog tabs, and in asset selection interfaces (like when creating a Quality Rule).
  • Asset filtering: Use the filters extensively, especially when dealing with common asset names, to quickly isolate the data you need. This allows you to focus precisely on the data relevant to your current task, significantly speeding up selection and reducing the chance of errors. To know more about filtering assets, refer to the following:
  • Review selections: When selecting multiple assets, always review the Selected Datasets or Selected Fields panel on the right. This allows you to confirm your choices or remove any assets before confirming an action.

These features are integrated into critical areas of the Data Integrity Suite:

  • Quality rule creation: When selecting fields or datasets for your quality rules, you'll see the full asset paths and can use database filters to pinpoint the exact data. The card view on the Create Quality Rule page also includes check-boxes that let you select multiple datasets.
  • Pipeline configuration: When setting up pipeline inputs, lookup tables, or runtime parameters, leverage the hierarchical paths and filters to ensure you select the exact data assets required.
  • General catalog browsing: Whether in the Datasources, Datasets, or Fields tabs, the enhanced display and filtering capabilities make it easier to navigate and understand your organization's data landscape.