Revenue Data Foundation
The data governance framework that makes everything else work — because every dashboard, AI tool, and automation is only as good as the data underneath it.
The Problem
Your CRM has 47,000 accounts but nobody knows which ones are real customers. Marketing reports different pipeline numbers than Sales. Your AI tools produce garbage recommendations because they’re trained on garbage data.
The problem isn’t your tools — it’s that nobody ever designed the data layer they all depend on. Without a Revenue Data Foundation, every system you build, every report you run, and every AI model you deploy is built on sand.
75% of RevOps professionals cite data inconsistencies as their biggest challenge. Fix the foundation, or nothing built on top of it will work.
Our Approach
- 1
Audit your current data landscape — every system, every object, every field that touches revenue data.
- 2
Design your Customer Master: the single authoritative record for every account, contact, and relationship across your entire stack.
- 3
Build deduplication logic that handles the messy reality of B2B data — subsidiaries, acquisitions, name variations, and multi-entity relationships.
- 4
Implement cross-system integrity rules so that changes in one system propagate correctly to every other system.
- 5
Create the semantic layer — standardized definitions, calculated fields, and data models — so that “ARR” means the same thing in Salesforce, your data warehouse, and your board deck.
What You Get
Customer Master Design
Architecture for a golden record system that maintains a single authoritative version of every account, contact, and relationship across your GTM stack.
Data Governance Framework
Policies, ownership assignments, and processes for data entry, validation, enrichment, and lifecycle management.
Deduplication Strategy
Matching logic and merge rules designed for B2B complexity — handling subsidiaries, acquisitions, name variations, and multi-entity hierarchies.
Cross-System Integrity Audit
Analysis of how data flows between systems with rules to ensure changes propagate correctly and records stay in sync.
Data Quality Scorecard
Ongoing measurement framework for completeness, accuracy, consistency, and timeliness of your revenue data.
Who This Is For
- Companies where Sales and Marketing report different pipeline numbers
- Teams with CRM databases full of duplicates, outdated records, and inconsistent data
- Organizations investing in AI or advanced analytics that need clean data to get value
- Revenue leaders who want forecasting they can actually trust
Related Insights
Explore Our Other Services
GTM Systems Audit
A comprehensive evaluation of your entire revenue technology ecosystem — identifying data quality issues, unused licenses costing you money, automation gaps, integration failures, and architectural risks across CRM, MAP, and billing systems.
Quote-to-Cash Optimization
We map your entire revenue workflow from quote through payment, identifying bottlenecks and automating manual steps across CPQ, billing, contract management, and revenue recognition.
CRM & Platform Migrations
End-to-end platform implementation and migration across CRM, marketing automation, billing, and CPQ systems — including data migration, workflow rebuild, integration architecture, and user adoption.
Territory Planning & Optimization
Data-driven territory design that maximizes total revenue by matching the right accounts to the right reps — including capacity modeling, routing logic, and scaling frameworks for growing teams.
AI & Automation Strategy
Cut through the AI hype with a practical assessment of where automation and AI agents deliver real ROI — and where they don’t. We help you build governance frameworks, evaluate tools, and implement workflows that actually work.
Fractional RevOps Leadership
Senior RevOps leadership without the full-time overhead — owning strategic planning, systems architecture, team mentoring, and the connective tissue between your sales, marketing, and CS operations.
Ready to get started?
Schedule a complimentary 30-minute assessment and we'll help you determine if revenue data foundation is the right fit for your team.
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