Rapid Battle Cards 31–38
31. Row-Level Reference Change vs Structural Reference Change
- Row-level: change specific code/description/status rows.
- Structural: change schema, granularity, hierarchy, relationships, mappings.
- Deciding clue: value maintenance vs meaning/structure change with broader downstream impact.
32. Data Sharing Agreement vs Technical Interface Specification
- Agreement: conditions, rights, responsibilities, obligations for sharing.
- Interface spec: structure, protocol, mapping, endpoint, format details.
- Memory: permission/promises vs pipes/payloads.
33. SLA vs Data Quality Rule
- SLA: service availability/timeliness expectation.
- DQ rule: test whether data content meets quality expectation.
- Deciding clue: late correct data vs on-time invalid data.
34. Steward Coverage Metric vs Ingestion/Consumption Metric
- Steward coverage: who is accountable and where gaps exist.
- Ingestion/consumption: who contributes/subscribes and how much data moves.
35. Change Activity Metric vs DQ Metric
- Change activity: rate/type/source/lineage of changes.
- DQ: fitness/confidence/compliance of values.
36. TCO vs Sharing Volume/Usage
- TCO: economic cost of program/solution.
- Sharing/usage: adoption and throughput of shared data.
37. Central RDM Repository vs Actual RDM Adoption
- Repository exists: authoritative place is available.
- Adoption: people/systems actually consume the governed values.
- Trap: storage without consumption does not create semantic consistency.
38. Tool Implementation vs MDM Program
- Tool implementation: technology capability installed/configured.
- MDM program: people/process/governance/stewardship/DQ/architecture/integration/technology deliver trusted data.
- Memory: a tool can match; a program makes the result trustworthy.
Source: pp. 353–359.