
8 years of SME credit behaviour. 35,000 entities. Monthly financial snapshots. Previously used only for internal risk modelling — until a DataVault assessment revealed its true commercial potential.
Monthly financial health snapshots, repayment behaviour, sector classification, and geographic location at postcode level. The bank's CDO was asked by the board to identify monetization opportunities.
Each lens provides an independent perspective on the asset's worth
Ranked by revenue potential for this specific asset
Exclusive training rights to a fintech AI lab. Requires pseudonymised derivative.
Annual subscription to 2-3 fintech buyers for credit risk analytical use.
Monthly SME financial health index to insurance underwriters and research firms.
Scoping call. MSLA signed. SME credit dataset shortlisted.
Asset intake. Discovery Agent deployed. 10-field profile completed.
AI deep-dive interview. 6 questions on provenance, consent, buyers.
Five-lens computation. CDVS formula run. Quality gate passed.
DataVault report signed. CSM walkthrough. Dual monetary range delivered.
Marketplace listing. Buyer matching activated. First introductions arrive.
Unlocks EU buyer pool and removes largest MRS suppressor
Improves MRS governance sub-score immediately
Improves Data Quality risk from Amber to Green
This worked example produced a 5-year NPV of €15.6M from an asset previously valued at zero. Start with a free 30-minute scoping call.

Helping organisations discover, value and commercialize their data assets through evidence-based DataVault assessments and an AI-driven marketplace. Your data stays in your environment. We earn when you earn.
