Buying Data Without Mistakes: Due Diligence in 6 Points

Purchasing data is a lever — provided you don't buy just anything. Poorly sourced data (unclear rights, uncontrolled GDPR, questionable quality) is a risk that the buyer ultimately bears. Six checkpoints structure serious buyer due diligence.

(1) Origin and rights: where does the data come from, and does the seller have the right to transfer it? Demand a clear license guaranteeing the lawfulness of collection, the right of transfer, permitted uses, and the fate of derived data (Global Data Review). (2) GDPR compliance: if the data is personal, verify the legal basis on the seller's side, the reality of anonymization (and not mere pseudonymization), and transfer clauses — without a valid legal basis, you inherit the risk of sanctions. (3) Quality: evaluate the data across five dimensions (completeness, accuracy, freshness, uniqueness, consistency) and demand a sample before buying (Collibra, Monte Carlo).

(4) Define usage by contract: is it a license or a transfer? Purpose, territory, exclusivity, duration, resale rights, and derived data must be in writing. (5) and (6) Secure the transaction: NDA, escrow, KYC/KYB checks, and where relevant, a data clean room to analyze without transferring the raw data. The European framework (Data Governance Act, applicable since September 24, 2023) requires data intermediaries to be neutral and not to exploit the data for their own account — therefore, choose a neutral intermediary, not a reseller.

The reflex that simplifies everything: the free pre-purchase sample ('try before you buy') is a market standard; it provides reassurance and shortens due diligence. These six points are precisely the framework of the d-nvest deal room, which protects both buyer and seller: create one to buy with confidence.