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Our data-quality approach

How we know the data is right.

A recommendation is only as good as the data under it. Before any finding reaches your report, every source passes through a structured evaluation — reviewed for traceability, accuracy, completeness, consistency, credibility, currentness, interpretability, and fitness for the decision. Our methodology is informed by ISO 8000 and ISO/IEC 25012 data-quality principles.

Why this matters

Anyone can download a dataset. The work that decides whether it's trustworthy happens before the analysis — in judging whether each number is sourced, complete, consistent, current, understandable, and fit for the decision at hand. That judgment is the difference between a confident decision and a costly guess dressed up as data.

The six dimensions below are how we make that judgment explicit and repeatable, so the same standard applies to every engagement.

The six dimensions

TraceabilityEvery figure can be traced back to a named, checkable source — a Census table, a public dataset, a documented method. If we can't show where a number came from, it doesn't go in the report.
CompletenessReal-world data has gaps. The risk isn't the gap itself — it's a gap that goes unnoticed and quietly skews a conclusion. We find what's missing and decide whether it matters.
ConsistencyDifferent sources often disagree — two estimates of the same income figure, two definitions of the same boundary. Left unreconciled, that contradiction becomes a hidden error.
CurrentnessData has a shelf life. A figure that was right three years ago can be wrong today. The question is never just 'is it accurate' but 'is it current enough for this decision'.
InterpretabilityA correct number that no one can act on has no value. Analysis has to be legible — clear about what it means and what to do, not a wall of charts.
Business fitnessThe final test: is this number fit for the decision it's informing? A rough estimate may be fine for a directional call and useless for a financial commitment.

How we apply each one

TraceabilityWe record the source and method for each data point, so any figure can be verified independently.
CompletenessMissing or partial data is identified and flagged, and we state plainly where coverage is thin.
ConsistencyWhen sources conflict, we reconcile them and explain which we trust and why, rather than averaging blindly.
CurrentnessWe check the vintage of every source and judge it against the decision's time horizon.
InterpretabilityFindings are written in plain language with the 'so what' attached, not left as raw output.
Business fitnessWe match the rigor of each figure to the weight of the decision it carries.

Provenance: every report is built to be reviewed and reused

Informed by ISO 8000, we document the lineage behind every figure — so a report can be checked, challenged, and reused with confidence rather than taken on faith:

  • Source provenance — where each figure originated, named and linkable.
  • Geography level — the exact area a number describes (ZIP, tract, county).
  • Retrieval date — when the data was pulled, so its currentness is clear.
  • Assumptions — every assumption stated plainly, not buried.
  • Transformations — how raw data was derived or apportioned into the figure shown.
  • Limitations — what the data can't tell you, said out loud.

The result is a report you can put in front of a partner, a lender, or a board — and have it hold up to scrutiny.

The full picture

The dimensions below feed into a single question: is this data fit to decide on?

Fit todecideAccuracyCompletenessConsistencyCredibilityCurrentnessAccessibilityTraceabilityUnderstandabilityAvailabilityRecoverabilityProvenanceFitness for the decision

Ten data-quality dimensions, informed by ISO/IEC 25012 and ISO 8000, all feeding one question: is this data fit to decide on? Veduta is not ISO-certified.

How it shows up in your report

Every figure we deliver is labeled by how solid it is:

  • Measured — counted directly from a primary source.
  • Estimated — derived or apportioned, with the method shown.
  • Context — cited research used to interpret, never presented as a promise.

That labeling is the visible result of the six-dimension process — it lets you see, at a glance, how much weight each number can bear.

An honest note on standards. Our methodology is informed by ISO 8000 and ISO/IEC 25012 — the international standards for data quality and data-quality models. Veduta is not ISO-certified, and our reports are not formal ISO compliance audits. We apply the principles; we don't claim the certification.
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