Plan a financial data governance project with a timeline covering data ownership, definitions, quality rules, lineage documentation, and access controls.
The tell that a company has a data governance problem is the meeting where the CFO presents revenue as $12.4M and the VP Sales presents it as $13.1M, and twenty minutes are spent figuring out which one is right instead of discussing what to do about it.
The difference is almost never about data corruption or system errors. It's about definitions. Sales counts a deal as revenue when it's signed. Finance counts it when it's invoiced. Or Sales counts the full contract value; Finance counts only the recognized portion. The data is accurate — the definition is different.
Financial data governance solves this at the definition layer. Once the company agrees on exactly what "revenue" means, measured how, from which source, including and excluding what — the number stops being a debate and starts being a tool.
Define scope:
Financial data governance is not all data governance. Start with the data domains that cause the most conflict and the most business impact:
Identify data consumers:
Identify source systems:
Establish governance structure:
Data asset catalog:
Critical Data Elements (CDEs):
CDEs are the specific fields or metrics that matter most for business decisions. Identify them explicitly.
Examples:
For each CDE: document its current definition (as used by each team that calculates it), identify conflicts in definitions across teams, and flag for reconciliation in Phase 4.
Data classification by sensitivity:
Classification drives access control decisions in Phase 7.
Financial data governance fails when there's no clear ownership. Assign three roles for each CDE:
Data Owner:
The business leader accountable for the quality, accuracy, and appropriate use of the data domain. Data owners set the definition, resolve disputes, and are ultimately responsible.
Data Steward:
The practitioner responsible for day-to-day data quality and definition maintenance.
Data Custodian:
The technical team responsible for storage, security, and access to the data.
Document owner and steward assignments in writing. Circulate and get acknowledgment from each named individual.
This is the core deliverable of the project: precise, agreed-upon definitions for every CDE.
Definition standard:
Each definition must include:
Example definition:
> ARR (Annual Recurring Revenue)
> Annualized value of all active subscription contracts as of period end date.
> Formula: sum of (monthly recurring revenue × 12) for all active subscriptions as of the last day of the reporting period.
> Source: NetSuite subscription records.
> Inclusions: all recurring subscription revenue lines with status = Active.
> Exclusions: one-time professional services fees, overages, expired trials, paused subscriptions.
> Updated: daily, reported as of month-end.
> Owner: CFO. Steward: Controller.
Sign-off process:
Draft definitions → circulate to all consuming teams → hold definition review meeting → resolve conflicts → publish final definitions → obtain written acknowledgment from all consuming teams.
The definition review meeting will surface conflicts. Resolve each conflict by having the Data Owner make the final call. Document the decision and the rationale.
A definition is useless if the underlying data is wrong. Define quality rules for each CDE.
Quality dimensions:
Example quality rules for ARR:
Implementation:
For each CDE, document the complete data flow from source to final report.
Lineage documentation serves two purposes: it enables root-cause investigation when numbers don't match ("where in the pipeline did the error occur?"), and it creates audit evidence that financial reporting data is traceable to authoritative sources.
Access audit:
Pull current access rights to financial data systems and warehouse tables. Identify:
Role-based access model:
Define roles and associated data access rights aligned to job function. Examples:
Quarterly access certification:
Managers certify that their team members' access remains appropriate. Revoke access not certified. This is a recurring process, not a one-time exercise.
Track the financial data governance project in gantt-chart.io with Phase 4 (business glossary) as the critical path milestone. Everything after — quality rules, lineage, access controls — builds on the definitions. The glossary review meeting where definitions are aligned and signed off is the most important milestone in the project: mark it explicitly in the timeline and protect it from schedule pressure.