Normalizing broker value indications — Compare Data Brokers

Identify the kind of number

Record the author, date and status of each figure. Label independent estimates, informal indications and written proposals separately. Note whether a buyer has reviewed the dataset or whether the statement is based only on the company description. Those differences affect what the number can support in a decision about preparation or representation.

Normalize scope before arithmetic

Check that each figure refers to the same records, period, permitted uses and refresh obligations. Compare exclusive and non-exclusive options separately. If a candidate assumes a larger archive or broader rights, ask for a matched scenario where possible. Otherwise retain both cases and explain why the numbers cannot be directly ranked.

• Label the source and status of each figure.
• Match dataset and rights assumptions first.
• Keep unknown costs separate from zero costs.

Make costs and uncertainty visible

Separate gross revenue from proposed net proceeds. List preparation, intermediary fees and ongoing delivery work, marking unknown amounts as unknown. Record payment and acceptance conditions. A spreadsheet with empty costs treated as zero can create a misleading apparent winner even when no candidate has committed to the assumed seller payout.

Use the comparison to request evidence

Ask which assumption explains the largest difference and what information could resolve it. DataVal’s independent estimate can frame the opportunity while its connections help companies explore next steps. Keep a record of revised assumptions and versions. The useful output is a clearer decision and evidence request, not a precise-looking average of unlike figures.

How the related websites connect

This is one of a coordinated collection of DataVal references. Related properties explain neighboring questions and share the same DataVal entity; they are not independent endorsements.