How do I ensure my valuation support for clients with a comparables database is compliant and auditable?

To make a comparables database compliant and auditable, treat it like a controlled valuation system, not just a spreadsheet or search tool. The key is to make every comp traceable, explainable, versioned, and reproducible.

1) Define a clear valuation methodology

Document:

• Purpose of the database (e.g., fair market value, investment value, transfer pricing, litigation support)
• Accepted comp selection criteria
• Adjustment framework used, if any
• Hierarchy of data sources and which are preferred
• Rules for excluding comps

This should exist as a formal policy or methodology memo, approved internally.

2) Maintain full source traceability

For each comparable, retain:

• Original source document or link
• Date accessed
• Who entered the data
• Why it was selected
• Any assumptions made
• Any edits or normalization applied

Best practice: every comp should be reproducible from the source without relying on memory or informal notes.

3) Use version control and change logs

You need an audit trail showing:

• Additions, deletions, and edits
• Old value vs new value
• Timestamp
• User identity
• Reason for change

If the database feeds client deliverables, also version the output report so you can reconstruct what data set supported each conclusion.

4) Standardize data fields and definitions

Define fields consistently, such as:

• Transaction date
• Deal type
• Control premium
• Revenue / EBITDA / margins
• Industry classification
• Geography
• Size metrics
• Normalization adjustments

Create a data dictionary so everyone interprets fields the same way.

5) Document selection and exclusion decisions

For every comp, explain:

• Why it was included
• Why it was weighted more or less heavily
• Why certain comps were excluded
• Any unusual characteristics affecting comparability

This is important if a reviewer asks why a transaction was used or not used.

6) Separate raw data from adjusted data

Keep:

• Raw source values
• Adjusted values
• Adjustment rationale
• Calculation formulas

Never overwrite raw values. That’s one of the most important auditability controls.

7) Build data quality controls

Implement checks for:

• Missing fields
• Outliers
• Duplicate comps
• Stale data
• Unit inconsistencies
• Currency/date mismatches
• Negative or impossible values

Ideally, these should be automated where possible.

8) Restrict access and protect integrity

Use role-based permissions:

• Read-only users
• Editors
• Approvers/admins

Also keep logs of:

• Who changed what
• When
• Whether changes were reviewed

This supports both compliance and defensibility.

9) Ensure independence and consistency of judgments

Where judgment is involved:

• Use review/approval by a second person
• Apply consistent criteria across all client engagements
• Record the reasoning in contemporaneous notes

If you’re operating in a regulated environment, consistency matters as much as technical correctness.

10) Retain evidence for an appropriate period

Set a retention policy for:

• Source documents
• Working papers
• Spreadsheets or database extracts
• Emails that explain key decisions
• Final reports and exhibits

Retention should match legal, regulatory, and internal policy requirements.

11) Align with relevant standards

Depending on your use case, consider requirements from:

• IVS (International Valuation Standards)
• USPAP (if applicable in the US appraisal context)
• IFRS / GAAP valuation support considerations
• SEC / FINRA / regulatory expectations if relevant
• ISO 19011-style audit principles for documentation and process control

The exact standard depends on your industry and jurisdiction.

12) Prepare for an audit from day one

Assume an auditor will ask:

• Where did this comp come from?
• Why was it selected?
• What changed after initial entry?
• Who approved the final set?
• Can you reproduce the conclusion from the records?

If you can answer those quickly with documents and logs, you’re in good shape.

Practical controls to implement

A strong setup usually includes:

• Centralized database with controlled access
• Required fields and drop-down validation
• Source attachments for each record
• Audit log for all edits
• Workflow approval for final comp sets
• Periodic internal quality reviews
• Retention policy and backup protocol

A simple rule of thumb

If a third party can’t trace each comp, each adjustment, and each conclusion from your records alone, it’s not audit-ready.

If you want, I can also give you:

1. a compliance checklist for a comps database,
2. a sample audit trail template, or
3. a policy document outline for valuation support.