Roles / Data Steward
Data Steward
Core Scenario
Data Discovery for Analytics
Need Customer Lifetime Value data? Find authoritative sources and understand data quality levels across systems.
- Search for data objects by name or domain
- Find System of Record for each object
- Check quality levels: golden, replica, derived
- Determine best source for use case
Discovery: "Customer SoR = CRM (golden), Transaction SoR = Billing (golden). For analytics: use replicas in DWH."
Compliance
GDPR PII Tracking
DPO needs a data processing map? Show exactly where personal data is stored and transferred.
- Find all data objects flagged as PII
- List all applications storing each PII object
- Find integrations transmitting PII
- Identify external transfers requiring DPA
PII Map: "5 data objects, 12 systems, 8 integrations, 2 external transfers requiring DPA review."
Audit
Data Lineage for Audit
Auditors want proof of data origin? Build end-to-end lineage from source systems to reports.
- Start from end point (BI report, DWH)
- Build upstream lineage for each data object
- Trace through integration chain to sources
- Export lineage diagram for auditors
Lineage: "Revenue data: Billing (SoR) → Integration Hub → DWH → BI Report. Complete chain documented."
Governance
Defining System of Record
New PIM system deployed? Update data governance to reflect the new authoritative source for product data.
- Find data object (e.g., Product)
- Update SoR to new system
- Set quality level to "golden"
- Downgrade other systems to replica/derived
Updated: "Product data governance: PIM = golden SoR, ERP = authoritative replica, E-commerce = derived."
Change Management
Master Data Change Impact
Adding a new field to Customer master data? Know exactly which systems and integrations need updates.
- Find affected data object
- Build downstream lineage
- Identify integrations to update
- Create change request list with owners
Impact: "8 downstream systems, 5 integrations for update, 3 owners for coordination."
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