What problem does it solve?
Catalog Steward addresses poor discoverability, inconsistent terminology, and weak governance in SAP Datasphere catalogs by providing structured workflows to enrich metadata, standardize glossary terms, define and validate KPIs, enforce tag taxonomies, and analyze lineage-driven impact before changes are applied. It reduces time spent by analysts hunting for trustable datasets, prevents accidental breakage of downstream consumers, and improves data literacy across teams.
Core Features & Use Cases
- Metadata Enrichment: Identify undernamed or under-documented assets, suggest business-friendly names and descriptions, and apply bulk updates with audit trails.
- Glossary Management: Create, version, and link business glossary terms to technical assets so business and technical users share common definitions.
- KPI Definition & Validation: Define KPI formulas, map KPIs to underlying measures, validate calculations against source data, and manage KPI lifecycle and ownership.
- Tag Taxonomy & Automated Tagging: Design controlled vocabularies and auto-suggest tags based on column analysis with confidence scores, then apply tags at scale with owner review.
- Impact Analysis & Governance: Trace lineage to enumerate direct and indirect consumers, produce impact reports, and recommend phased rollouts or backward-compatible migration strategies.
- Real-world Example: During a migration, use the skill to find deprecated columns, list downstream dashboards and KPIs that depend on them, propose a migration plan with test phases, and notify owners.
Quick Start
Enrich the catalog by finding assets with cryptic names, propose business-friendly names and tags, link relevant glossary terms, and produce an impact analysis for any proposed renames or deprecations.
