3 Steps to Catalog and Discover Analytic Assets with SAS Information Catalog
SAS Information Catalog excels at organizing and understanding both data and analytic assets within your organization. Here's how it achieves this:
1. Data Cataloging:
- Automated Discovery: Agents crawl various data sources like files, tables, databases, and SAS libraries, automatically pulling in essential metadata about each asset.
SAS Information Catalog - Agents to Discovery data assets automatically
Discovery Agents Configuration and Execution Asset Summary
Agent Configuration - Type of Catalog Analysis Mode and Options
Advanced Analysis Options
Filter tables from a data source or schema from catalog process
Catalog and Analysis - Last Execution Summary
- Metadata Enrichment: Users and tools can further enrich this metadata with details like descriptions, tags, lineage information, and data quality metrics. Coming soon - Glossary and Business Terms.
Catalog and Data Analysis Table Overview
Adhoc Tags and Search
Tag search with results based on assigned or user created tags
- Standardization & Governance: The catalog establishes a single source of truth for data definitions, promoting consistency and adherence to data governance rules using auto generated dataset
Auto generated dataset summary
2. Analytic Asset Cataloging:
- SAS Viya Integration: Information Catalog seamlessly integrates with SAS Viya tools, automatically capturing metadata for models, reports, data flows, and other analytic creations.
Cataloged Assets at a Glance - Data and Analytic Assets available to discover by multiple user personas in an organization
- Lineage Tracking: You can track different types of assets and their relationships with other assets, providing context for how analytical workflows operate.
End-to-End entity level lineage from Data to Analytic Models
3. Search for Discovery:
SAS Information Catalog offers powerful search functionalities empowering users to find the desired assets with ease:
- Keyword & Full-Text Search: Search across asset names, descriptions, tags, and even within data files for specific keywords or text patterns.
- Faceted Search: Filter results based on various criteria like data type, source system, creation date, usage statistics, or quality metrics.
- Natural Language Search: Formulate inquiries in natural language, and the catalog will intelligently interpret and return relevant results.
- Relevance Ranking: Search results are ranked based on factors like keyword match, user preferences, and asset usage, prioritizing the most relevant items.
Faceted Search based on specific dataset characteristics and functionalities
Natural Language Search that matches various attributes of a dataset to provide relevant results to end users
This search experience empowers users across the organization, from data analysts to business stakeholders, to efficiently discover and understand the data and analytic assets they need to make informed decisions. Additionally, advanced features like data lineage visualization provide deeper insights into how data flows through your organization and supports various analytic processes.
Remember, SAS Information Catalog offers various user interfaces and integration options that allow seamless access to the cataloged assets. SAS Information Catalog streamlines data and analytic asset cataloging and makes them readily discoverable through its intuitive search functionalities.
