Data sources, freshness and provenance
A useful output needs more than a number. Totwell records the source, date and relevant limitation of information used in a workflow wherever that information is available to the platform.
1. Source types
The workflow may combine information supplied by users with public and licensed property, housing, economic and planning datasets. Examples can include transaction-price data, house-price indices, EPC information, local-authority planning information, flood-risk context, rental evidence and applicable cost or tax inputs. Availability and permissions vary by source, location and time.
2. Freshness and provenance
Source dates and refresh information matter because markets and property conditions change. Totwell is designed to retain the evidence and assumptions used for a workflow so that a later reader can see what information was available at the time, rather than treating an old output as current.
3. Limitations and data gaps
A source is not a guarantee. Public datasets can lag, omit transactions or describe a property imperfectly; supplied material can be incomplete or inaccurate; and an estimate is not a survey, legal review or professional valuation. Missing, conflicting or low-confidence information should be treated as a question to resolve.
4. Model provenance
Model outputs are versioned and should be read with their relevant inputs and confidence information. The published model-performance report and governance framework explain evaluation, monitoring and version controls.
Great deals deserve independent evidence.
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