How Do I Create a Single Source of Truth for Revenue Data?
Stand up a governed warehouse and metrics layer, feed it from MAP/CRM/CS, publish one scorecard, and sync decisions back to tools via reverse ETL.
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SSOT Reference Architecture
| Layer | Purpose | Inputs | Outputs | Owner |
|---|---|---|---|---|
| Ingestion | Reliably load MAP/CRM/CS + finance | APIs, CDC, files | Raw tables with lineage | Data Eng |
| Warehouse | Unified, governed model | Raw stage | Modeled tables (accounts, opps, programs) | RevOps + Data |
| Metrics Layer | Reusable KPI definitions | Modeled data | Semantics: coverage, conversion, velocity, NRR | Analytics |
| BI & Scorecard | One-truth dashboards | Metrics layer | Exec scorecard + diagnostics | RevOps |
| Reverse ETL | Activate trusted metrics | Metrics layer | Scores, segments, attribution back to tools | Platform Ops |
| Governance | Quality & compliance | Policies, data contracts | Audits, documentation, access controls | Security + RevOps |
Data Contracts & Promotion Gates
| Contract | Definition | Gate to Production | Who Signs |
|---|---|---|---|
| Stage taxonomy | Lead→MQL→SAL→SQL→Opp→Won | No duplicate variants; mapping documented | RevOps + Sales Ops |
| Attribution model | Method + lookback + exclusions | Backtest vs control; documentation | Marketing Ops + RevOps |
| Identity & consent | Match rules + preferences | Policy tests pass per region | Security + MOPs |
| Metric glossary | Formulas, owners, refresh cadence | Peer review; BI checks pass | Analytics Council |
6-Step Rollout Playbook
| Step | What to do | Output | Owner | Timeframe |
|---|---|---|---|---|
| 1 — Align taxonomy | Lock lifecycle, fields, and definitions | Data dictionary v1 | RevOps | 1–2 weeks |
| 2 — Land data | Ingest MAP/CRM/CS into warehouse | Raw & modeled layers | Data Eng | 2–4 weeks |
| 3 — Define metrics | Create metrics layer + tests | Coverage, conversion, velocity, NRR | Analytics | 2 weeks |
| 4 — Publish scorecard | Build exec dashboard & diagnostics | One-truth BI | RevOps | 1–2 weeks |
| 5 — Activate | Reverse ETL segments & attribution | Trusted fields back in MAP/CRM/CS | Platform Ops | 1–2 weeks |
| 6 — Govern | Change control, audits, lineage, backups | Sustained “one truth” | Security + RevOps | Ongoing |
Trust & Adoption KPIs
| Metric | Formula | Target/Range | Stage | Notes |
|---|---|---|---|---|
| Data freshness | Avg hours since last sync | ≤ 4–12h | Run | Per source system |
| Glossary coverage | Documented KPIs ÷ KPIs in use | ≥ 95% | Run | Prevents dashboard drift |
| Dashboard adoption | Weekly active viewers ÷ target users | ≥ 80% | Scale | Exec + manager cohorts |
| Decision rework | Issues due to conflicting numbers | ↓ month over month | Improve | Track via ops backlog |
| Reverse ETL reliability | Successful syncs ÷ attempts | ≥ 99% | Run | Alert on failure |
Why TPG
We build “one truth” systems that leaders trust—governed models, a real metrics layer, and reverse ETL back to MAP/CRM/CS—backed by change control and a single revenue scorecard. Our co-managed approach accelerates delivery while building internal capability.
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Frequently Asked Questions
Start with a governed warehouse and reverse ETL; add a CDP when you need real-time identity resolution and cross-channel decisioning at scale.
Publish a metrics layer and glossary; enforce BI permissions and a “single scorecard” policy in QBRs.
RevOps owns the operating model and KPIs; Data Engineering owns pipelines; Analytics owns the metrics layer and BI.
Most teams ship a Core SSOT (warehouse, metrics, scorecard) in 8–12 weeks for one segment, then scale.
Unversioned field changes and ad-hoc reports. Prevent with change control, contract tests, and glossary governance.