Data Asset Monetization Advisory
Identify and improve proprietary data assets. Prepare for licensing through specialist intermediaries. Begin with an exploratory review.
Exploratory data asset review
Harvest Intelligence helps established businesses assess candidate data assets, potential AI use cases, and readiness for licensing intermediaries. The initial review defines priorities and next steps. Scope and fees are agreed before work begins.
01 / Asset landscape
A high-level inventory of candidate datasets, provenance, coverage, maintenance, and internal stakeholders. Initial discovery can start with descriptions and metadata rather than underlying records.
02 / Opportunity hypotheses
Potential buyer use cases and a preliminary view of quality and delivery readiness. Buyer demand remains a question to investigate, rather than an assumed outcome.
03 / Decision brief
Constraints, open diligence questions, and recommended next steps. Decide whether to investigate further, improve readiness, narrow the scope, or pause.
How is data improved?
Depending on the asset, priorities may include consistent formats, clearer metadata, quality checks, provenance, and a documented refresh process. We define the improvement plan with your team and identify rights or privacy questions for qualified advisers.
Data owner representation
Following a review, a separate engagement may cover asset development priorities, intermediary assessment, and representation of the data owner. Harvest Intelligence represents your business; the intermediary handles downstream licensing. Any success-based commission and responsibilities are agreed in writing.
Who handles licensing?
The selected intermediary handles licensing under agreed terms. Harvest Intelligence supports the data owner’s preparation and representation. No review guarantees acceptance, a license, or revenue. See how the process works and what a review should establish.
Discuss an exploratory review.
Start with a high-level overview of your company and its data assets.