Our valuation process in five stages.

1. Initial brief.

Client provides

• A concise description of the data asset.
• Current licensing intent (exclusive, non‑exclusive, acquisition, etc.).
• Any deadlines or strategic constraints.

We deliver

• Confirmation of scope and engagement outline.
• List of additional documents needed to proceed.

Start the process with the valuation brief.

2. Data and rights inventory.

Client provides

• Structured inventory of data sets (size, domains, language coverage).
• Rights register: ownership, source agreements, consent records.
• Quality reports or known issues.

We deliver

• Verified inventory grouped by value driver categories.
• Rights gap analysis highlighting unresolved items.

We use the inventory to define the evaluation baseline.

3. Value driver analysis.

Client provides

• Insights on uniqueness, refresh frequency, and exclusivity expectations.
• Business context: target AI buyers, market segment, anticipated use cases.

We deliver

• Checklist of value drivers (rights, uniqueness, depth, coverage, quality, scale, refresh, exclusivity).
• Preliminary discount factors for each driver.

The analysis forms the quantitative backbone of the scenarios.

4. Scenario modeling.

Client provides

• Preference for scenario focus (e.g., licensing vs acquisition).
• Any pricing constraints or target ranges.

We deliver

• Multiple pricing scenarios with upper, base, and lower bounds.
• Sensitivity tables showing impact of each driver.

Scenarios are grounded in evidence, not fixed appraisals.

5. Deliverable and next steps.

Client receives

• A concise report summarizing inventory, driver analysis, and scenario ranges.
• Recommendations for next buyer conversations or internal decision‑making.

Optional tools

• Use our self‑assessment Data Value Scorecard to benchmark future assets.

The engagement ends when you have the information needed to test offers with AI buyers.