Fractional Data Advisor

Senior data leadership, without the headcount.

A separate service from the platform. Our data consultants work alongside your team to establish where your estate actually stands, what to do about it, and in what order — before any software enters the conversation.

A separate service
Bought and priced on its own No platform licence required The assessment can conclude “not yet” You keep every deliverable
What a fractional advisor is for

Most organisations do not need a full-time data executive. They need the decisions one would make.

A fractional advisor gives you that judgement at the cadence you actually need it — a few days a month, or a defined piece of work with an end date — rather than a permanent hire or a large programme you commit to before you know what the problem is.

01

You need a CDO-level view, not a CDO headcount

The questions are strategic — operating model, ownership, where to start — but they do not add up to a permanent executive role, and hiring one takes six months you do not have.

02

You have a data leader with no room to think

They are running delivery, incidents and stakeholders. The strategy work keeps moving to next quarter because there is no quarter in which it is the most urgent thing.

03

You are about to spend, and cannot yet defend it

A platform, a programme or a team is on the table, and nobody can state the current baseline it would improve — so the business case rests on assertion.

What you walk away holding

Six deliverables, and they are yours whatever you decide next.

1

A current-state baseline

Capability by capability, with the evidence behind each rating and the gaps recorded as unassessed where nothing could be observed.

2

A defined target state

Not “level 5 everywhere”. The level each capability actually needs to reach for your business, agreed with you rather than prescribed.

3

The prioritised gap

What is missing, ordered by what it blocks — with prerequisites made explicit, so nothing is scheduled before the thing it depends on.

4

A sequenced roadmap

Phased, with owners, dependencies and a realistic view of what your organisation can absorb at once.

5

A business case you can take to a board

Built from your numbers, not ours — cost of the current way of working, what changes, and what remains uncertain, stated as uncertain.

6

A straight answer on tooling

Whether a platform helps you now, later or not at all — including which of your existing tools you should keep rather than replace.

Data strategy services

The gap analysis is where most engagements start. It is rarely where they end.

Four groups of work. Take one, take a sequence, or retain an advisor across all of them.

Assess

Understand what you have

  • Data maturity assessmentCapability-level, evidence-based, repeatable.
  • Gap analysisCurrent state against the target you choose.
  • Data architecture reviewLake, warehouse, lakehouse, integration and lineage.
  • Cloud data cost reviewSpend against value delivered, per platform and per product.
  • AI readiness assessmentWhich data could safely feed a model, and which could not.
  • Tooling landscape reviewWhat you own, what overlaps, what is unused.
Design

Decide how it should work

  • Data strategyObjectives, principles and the measures that prove them.
  • Target operating modelCentralised, federated or data-product oriented — chosen deliberately.
  • Data mesh & domain designDomain boundaries, ownership and the federated standard between them.
  • Governance frameworkPolicies, controls and decision rights that people will actually follow.
  • Roles & accountability modelOwners, stewards, custodians — defined as jobs, not as a diagram.
  • Data product portfolioWhich products should exist, and which existing assets are not products at all.
Plan

Make it fundable and sequenced

  • Roadmap & sequencingPhased against prerequisites and delivery capacity.
  • Business caseBuilt from your own numbers, with the uncertainty left visible.
  • Independent tooling selectionRequirements, shortlist and evaluation — including the option of buying nothing.
  • Operating-model transition planHow to move without stopping delivery for a year.
  • Metrics & reporting designWhat the board sees monthly, and where each number comes from.
  • Regulatory & obligation mappingWhich regimes reach which data, for organisations that are in scope.
Run alongside

Stay in it while it lands

  • Fractional data leadershipA few days a month, retained, with continuity.
  • Interim CDO or head of governanceFull-time cover for a defined period.
  • Programme assuranceAn independent read on whether delivery is going where it claims.
  • Governance forum facilitationChairing the meeting that keeps deciding nothing.
  • Enablement & data literacyBringing domain teams up to the standard you just set.
  • Implementation oversightIf you do adopt a platform, someone accountable for the outcome.
The obvious objection

This site argues that consultant assessments are a flawed way to measure maturity. It still does.

We say elsewhere that a consultant assessment is six figures for a snapshot — accurate the week it is written, stale by the time it circulates, and impossible to repeat cheaply. We are not going to pretend that stops being true because we are the ones selling it.

It measures products, not just the programme

The critique of manual scoring is that it rates the organisation — and “level 2” is not something anyone can act on. The assessment works at the level of domains and data products, so every finding has something specific attached to it.

It records evidence, and its absence

Every rating names what it rests on. Where nothing can be observed, the capability is marked unassessed rather than given a number somebody invented to fill the cell.

It is built to stop being a PDF

The output is structured so the baseline can be re-measured — by you, by us on a cadence, or by the platform if you adopt one. A snapshot is only a problem when it is the last one you ever take.

A first measurement has to come from somewhere. The honest position is that an expert assessment is a good way to establish a baseline and a bad way to maintain one.
How it works commercially

Three shapes. All of them have an end date you can see from the start.

Defined engagement

A fixed scope with a fixed deliverable — most often the gap analysis. Agreed before it starts, priced before it starts, and finished.

Fractional retainer

A set number of days a month with a named advisor. The point is continuity: someone who already knows your estate when the question arrives.

Interim leadership

Full-time cover in a defined role for a defined period — while you recruit, or while a transformation needs someone accountable.

Advisory is priced and contracted separately from the platform. There is no bundling, no platform commitment attached to an assessment, and no discount that only appears if you buy software.
And if you do adopt the platform

The advisory output is built to be picked up, not repeated.

The two are separate services. They are not, however, designed in ignorance of each other.

The same frameworks and the same unit

The assessment measures domains and data products against DAMA-DMBOK, DCAM or your own framework. The platform computes on exactly that model, so the baseline you paid for becomes the starting point rather than something re-keyed.

Manual baseline, then continuous measurement

An advisor establishes where you stand today. The platform is what stops that answer going stale — the difference between knowing your maturity once and knowing it every month.

If you take the gap analysis and never buy the platform, the engagement was still complete. That is what makes the recommendation inside it worth reading.

See what the platform does

Talk to an advisor

Start with a conversation, not a proposal.

Tell us what is prompting this — a decision you are facing, a programme under way, or simply not knowing where you stand. We will tell you whether we are the right help, including when we are not.

  • No platform commitmentAdvisory is bought and priced on its own. Nothing here requires a licence.
  • Scope agreed before anything startsYou see the deliverables, the duration and the price before you commit.
  • A straight answer on fitIf your constraint is funding, sequencing or people rather than data, we will say so.

Find out where you stand, before you decide what to buy.

A gap analysis is a defined piece of work with a fixed scope, and the deliverables are yours whatever you do next.