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Free · About six minutes · Instant result

Find out whether your data is fit to build on.

Fifteen questions on the foundation everything else is built on — lineage, quality, ownership, access and platform. You get your score and a prioritized list of what to fix first, on this page, immediately. Scoring happens in your browser — nothing leaves it unless you ask for the report by email at the end.

15Questions
5Areas scored
~6 minTo complete
NoneEmail required

0 / 15 answered

This assessment needs JavaScript to score itself. The questions below are worth reading either way — they are the five things that decide whether a data foundation will hold. If you would rather talk them through, book a strategy call, or see the Data Platform Accelerator, where we verify these against your systems rather than your answers.

Lineage

Whether you can trace a number back to its source

0 of 3

If a board figure looked wrong, could you trace it back to the systems it came from without asking whoever built the report?

When an upstream field changes shape, do the teams downstream find out before their reports break?

Can you tell which reports and models depend on a given table before you change it?

Quality

Whether the data is fit to act on

0 of 3

Are there automated checks that fail loudly when data arrives late, empty or out of range?

When a quality problem is found, does someone fix the source rather than patching the report?

Do you know your completeness and duplication rates on the tables that matter, as a number rather than an impression?

Ownership

Whether anyone is accountable for it

0 of 3

Does every critical dataset have a named owner who would be called if it broke overnight?

Is there one agreed definition of your core business entities that the systems actually enforce?

When two teams disagree about a number, is there a person or a forum that settles it?

Access

Whether the right people can get to it

0 of 3

Can a new analyst find, and get approved access to, the data they need within a week?

Do you know who currently has access to your most sensitive datasets, without running a manual audit?

Is access granted by role and reviewed on a schedule, rather than granted once and forgotten?

Platform

Whether what it runs on will hold

0 of 3

Do your pipelines rerun cleanly from scratch, or would a full rebuild be a project in itself?

Is the cost of your data platform attributable to a team or a product, rather than arriving as one bill?

Could you move a core workload to a different engine or cloud without rewriting the business logic?

Answer all three to continue.

Data Products · Data Maturity Report

Data Maturity Assessment

Prepared —
Reference —
Scored in your browser
0 of 30 —

Your result

0%Overall maturity across the five areas
0Areas at or above the production threshold
0Areas flagged as a gap — 2 of 6 or below

Maturity by area

Each bar is your score out of 6. The marker sits at 4, the level where a production build usually stops being rework. Hover or focus a row to see which of its three answers pulled it down.

What is holding up

    Where the risk sits

      What to fix first

      Ordered by where you scored lowest, with ties broken toward the more foundational layer. Fixing these in another order usually means doing the work twice.

      View the scores as a table
      Your score for each of the five maturity areas, out of 6.
      DimensionScoreOfStanding
      Total036—
      Talk through your result Fix the foundation

      Prefer to keep a copy? — it is a PDF, not a mailing list.

      The two-week version

      The version that is not self-reported.

      A score tells you where the foundation is thin. It does not repair it. The Data Platform Accelerator is the engagement that does — scoped against the areas you just scored lowest, so the work starts where the evidence points rather than where a vendor would prefer.

      01 Foundation audit

      The same five areas, verified against your actual systems and pipelines rather than your account of them.

      02 Gap register

      Where a build actually breaks, named specifically enough that someone can put a number against fixing it.

      03 Order-of-magnitude cost view

      What each path costs to stand up and to run, sized at your volumes — enough to know whether the number is five figures or seven.

      04 Prioritized next steps

      One sequence with the reasoning attached, so the order can be argued with rather than taken on faith.

      Two weeks, fixed fee. It is designed as a low-risk way in, and the output is yours to use whether or not you take the work further with us. When a decision needs more than that, there is a longer engagement above it.

      See the Data Platform Accelerator
      Being straight about it

      What this is, and what it is not.

      It is a structured self-assessment

      Eighteen questions drawn from the reasons builds actually fail — thin data foundations, no review path, no evaluation harness, unmodeled cost, no adoption, unexamined exposure. Answering honestly is the whole method.

      It is not a diagnosis

      It scores what you tell it. It cannot see your architecture, read your contracts or interview your people, and it will not catch a problem you do not know you have.

      Nothing is collected unless you ask

      Scoring happens in your browser. Your individual answers are never transmitted. The one exception is deliberate: if you ask for the report by email at the end, your address and the six dimension scores are sent to us so we can send it. Skip that and nothing leaves your machine.