The engineering problem
A forecast is only one output of a larger system. Auction records need consistent interpretation. Corrections need to be traceable. Evaluation must use the information available at the forecast date. Operators need to know when a pipeline fails or a source stops arriving.
FishFacts is independent product development in seafood market data and forecasting. Its engineering record is useful evidence of how 42Analytics approaches those problems.
Canonical data and provenance
The data work includes canonical market inputs, preserved source evidence and explicit correction and quarantine decisions. Checksummed history and versioned data locks help keep a result tied to the dataset that produced it.
Forecast-ledger design records the code, configuration and source snapshots associated with an issue. Those identities make it possible to investigate a historical prediction without silently substituting a newer model or dataset.
Evaluation as part of the system
A forecast-error improvement is meaningful only within a defined evaluation. FishFacts maintains frozen scorecards with a named comparator, model identity, horizon range and eligible population.
The public record covers Peterhead, Shetland, Vigo and Korea. These are different configurations and evidence scopes: production-model historical confirmation, challengers and research diagnostics. Their scores must not be treated as interchangeable or combined into a single claim of commercial impact.
Read the current evidence summary, which links to the market scorecards and records their limitations.
Operating visibility
Pipeline-failure, missing-session and integrity alerts help expose failures that would otherwise leave apparently plausible but stale outputs. Duplicate suppression limits repeated notifications for the same condition.
These mechanisms support operation. They do not imply an independently measured uptime or service-level guarantee.
A limitation the audit exposed
Prediction ranges need their own evaluation. The published Peterhead diagnostic found that nominal 80% intervals covered about 63% of outcomes on its recorded sample. Retrospective improvements are not prospective validation. The product should therefore not be described as offering generally calibrated price intervals.
See the interval audit and evaluation scope.
Relevance to consultancy
The transferable work is the surrounding engineering: dependable inputs, traceable outputs, reproducible checks and useful operational signals. The same disciplines matter when a client needs a data platform repaired, an integration built or a forecasting idea tested before deployment.