Data Analytics Cost

What a data build
really costs.

Data pricing is all over the place, because sometimes the right answer is a cheap tool and sometimes it is a real build. Here is a straight breakdown: what drives the cost, when off-the-shelf wins, and honest fixed pricing from £16,000 when custom is genuinely worth it.

Platforms and marketplaces we have built and worked on
sellyourboat.ioKompiPaybusesforsale.comeuropeanyachtbrokers.comLoopa
What drives cost

Where the money
actually goes.

A data build costs what it costs based on the state of your data and how far it has to travel to become useful.

01

Number of sources

One clean source is simple; many messy ones multiply the work.

02

Data quality

The cleaning and pipeline work to make data trustworthy is the hidden cost.

03

Internal vs customer-facing

Customer-facing analytics is a product feature — it costs more, rightly.

04

One-off vs live

A report is cheap; live infrastructure that stays current costs more.

05

AI / retrieval layer

Making data answerable in plain language adds build and inference cost.

The honest range

Sometimes the cheapest data solution is a tool, not us

Search for data analytics cost and you will find everything from near-free to six figures, and unusually for this kind of work, the low end is often the right answer. For a lot of businesses, internal reporting on fairly standard metrics is best handled by a configured off-the-shelf BI tool — cheap, quick, and perfectly good. If that is your situation, we will tell you, even though it is a smaller engagement for us.

A real custom build earns its cost in specific cases: when analytics must live inside your own product, when it is customer-facing and your users see it, or when your data and questions are specific enough that no off-the-shelf tool answers them well. In those cases our pricing is fixed — from 16,000 GBP for a focused analytics layer, from 30,000 GBP for a larger build — and you own the result outright.

The most common way to overspend on data is paying to build custom where a tool would have done. We would rather point you to the cheaper answer and keep your trust for when a build genuinely is worth it.

The hidden cost

The pipeline is where the money quietly goes

When people picture a data build, they picture the dashboard — the charts, the interface. But the dashboard is usually the cheap part. The cost lives upstream, in getting your data in, cleaned, reconciled, and modelled so the numbers on that dashboard are actually correct. Messy data across several sources is the single biggest driver of what a data build costs, and it is almost always underestimated.

This is why two data projects that produce similar-looking dashboards can cost wildly different amounts. One had clean data in one place and a clear question; the other had inconsistent data spread across five systems that first had to be made to agree with each other. The visible output looks the same; the work behind it does not.

Understanding this is the key to budgeting data work honestly. When we scope a build, we scope the pipeline realistically rather than quoting the pretty part and discovering the hard part later. That is how you avoid the classic data-project overrun.

The cost-saving move

Answer the most important question first

The way to control the cost of a data build is the same as everywhere else we work: do less, first, and do the part that matters most. Data projects balloon when they try to model every source and build every conceivable view up front, before anyone has confirmed the data layer even delivers value.

A focused analytics build inverts that. From 16,000 GBP, it answers your single most important question — with a real pipeline, a clean model, and a dashboard your team can trust — rather than boiling the ocean. You get a working, trustworthy answer in front of the people who need it, fast, and you prove the data layer earns its keep before investing in scaling it.

If that first answer changes decisions, you expand with confidence and evidence. If it does not, you have spent 16,000 learning that cheaply, instead of a much larger sum on infrastructure nobody ends up using. Prove the value, then scale it.

Proof

We price with confidence because we run data at scale

The reason we can quote a data build as a fixed price, rather than a wide range hedged against the unknown, is that we operate real data at scale ourselves. sellyourboat.io is a Wall & Fifth venture handling over 12,000 structured listings across 18 countries, with search and a Claude-powered retrieval layer that answers from that data — all built and run by us.

Having made a large, messy, real-world dataset genuinely useful and kept it running in production, we know where the work actually is — the pipeline, the modelling, the reconciliation — and where it is not. That is why we can price a focused build at 16,000 and a larger one at 30,000 with confidence, instead of padding every estimate against surprises we have already handled on our own platform.

We have also handled transactional and payments data across client work including KompiPay. The pricing is grounded in operating real data, not estimating it.

Proof

Pricing grounded in data we run at scale

sellyourboat.io handles 12,000+ structured listings with search and AI retrieval, built and run by us. That is why we price data work with certainty.

£16k
focused build, fixed
£30k
extensive build, fixed
12,000+
records we run live
0
hourly surprises
Fixed pricing

The numbers, plainly

When a build is genuinely the right call, here is what it costs. No hourly meter, and you own the result.

Analytics Layer
from £16,000

A pipeline, a clean model, and a dashboard that answers your most important question.

Extensive Build
from £30,000

Multiple sources, richer dashboards, roles, and the infrastructure to scale reporting.

Embedded Partner
from £8,000 /mo

Ongoing senior involvement, if you want a partner in evolving the data layer over time.

FAQ

Questions people ask

At Wall & Fifth, from £16,000 for a focused analytics layer — pipeline, clean model, and a dashboard — and from £30,000 for a larger build with multiple sources and richer dashboards. Both fixed price. Across the market, data work ranges from near-free (configuring a tool yourself) to six figures for enterprise platforms — because sometimes the right answer is a tool, sometimes a real custom build.

Mostly the state of your data and how far it has to travel to become useful: how many sources there are and how messy they are, how much pipeline and cleaning work makes them trustworthy, whether dashboards are internal or customer-facing, and whether it is a one-off report or live infrastructure. Clean data and one question is cheap; messy data across many sources feeding customer-facing analytics is not.

Very often, and we will tell you when. For internal reporting on standard metrics, a configured off-the-shelf BI tool is usually far cheaper and perfectly good. Custom becomes worth it when analytics must live inside your product, when it is customer-facing, or when your questions are specific enough that no tool answers them well. Building custom where a tool would do is a common way to overspend.

It is cheaper because it answers your most important question first, rather than modelling every source and building every view up front. It is worth it because it gets a working, trustworthy answer in front of your team fast, and proves the data layer delivers before you invest in scaling it. Answer the question that matters most for £16,000, then expand with evidence.

Third-party usage, passed through at cost and never marked up: data warehouse fees, BI platform subscriptions, and AI inference if the build includes a retrieval layer. These scale with your data and usage. Everything else — the pipeline, the model, the dashboards, the code — is in the fixed price.

Yes. sellyourboat.io is a Wall & Fifth venture handling over 12,000 structured listings across 18 countries, with search and a Claude-powered retrieval layer, all built and run by us. Operating real data at scale on our own platform is why we can price a data build with confidence rather than padding for unknowns.

Get a straight price
for your data build.

Tell us what data you have and what you are trying to learn from it. We will tell you honestly whether it needs a build — and if so, what it costs.