Data Catalog

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
2025

The Data Catalog service, integral to the Precisely Data Integrity Suite, improves decision-making and data integrity through automated metadata collection and a scalable, rapid data catalog. It accommodates diverse data volumes, types, and speeds, simplifying access and understanding of enterprise data. Serving as a core component, it integrates and activates the suite's features with a user-friendly interface and support for common data sources. Key features of Data Catalog include:

  • Explore metadata connections: Find out about a variety of connectors that build a comprehensive catalog.
  • Integrate data governance: Learn how to incorporate business metadata to maintain data accuracy and consistency.
  • Understand asset scores: See how to view and assess asset scores, aiding in informed decision-making.
  • Define catalog rules: Uncover how to set and enforce rules to standardize metadata practices.
  • Manage data elements: Learn about tools for organizing datasources, datasets, and fields efficiently.

Data Catalog configuration guide

  1. Access catalog: Log in to the Precisely Data Integrity Suite and navigate to the Data Catalog service.
  2. Connect datasources: Use the provided connectors to link your various data sources. Ensure all relevant datasources are connected for comprehensive metadata collection.
  3. Configure metadata collection: Set up automated metadata collection. Define the frequency and scope of metadata collection according to your needs.
  4. Integrate technical metadata: Add technical metadata to ensure data accuracy and consistency.
  5. Define catalog rules: Establish and enforce rules to standardize metadata practices.
  6. Manage and monitor catalog jobs: Consistently manage and monitor catalog jobs and address any issues or errors promptly.
  7. Understand asset scores: View and evaluate asset scores to support informed decision-making.
  8. Sort and filter assets: Utilize sorting and filtering tools to improve the discoverability of your data assets.
  9. Organize data elements: Effectively organize datasources, datasets, and fields within the catalog.

The Data Catalog service resolves user queries such as:

  • How can I ensure my data is accurate and consistent?
  • What metadata is available for my data assets?
  • Who owns specific data assets and what are their meanings?
  • How can I perform impact analysis on my data?