Clean data or nothing
Most data projects die at the cleaning step, the bit everyone assumes is someone else’s job. We have done it for decades; it is our original specialism, not an afterthought we outsource to the cheapest vendor.
Managed data compilation & insight
Raw data is homework. We hand yours back ready to act on.
HM BigData runs your big-data pipeline end to end: multi-source compilation, cleaning, warehouse modelling, market research, AI-ready curation, and live delivery, built on a data heritage that predates the cloud, managed by us.
- Cleaned before it lands
- Refreshed on schedule
- Clear proposal before work begins
Where the data rots
~70%
of a typical warehouse is never queried after it is built: orphaned tables, half-migrated fields, reports nobody trusts. The data exists; the insight does not.
1
bad source is often all it takes. One unverified feed silently corrupts every downstream report until someone notices a number that cannot be right.
£0
is what an uncleaned dataset returns until someone fixes it. Raw rows are not insight; they are homework someone still has to do.
One data foundation, not scattered exports
We compile your spreadsheets, SaaS exports, APIs and siloed databases into a single clean warehouse, then run it for you.
Multi-source data compilation
Prospects, products, markets and transactions compiled from public records, licensed providers, APIs and your own systems, cross-checked rather than bought from a single broker. Sourcing mix is disclosed upfront, never a black box.
Cleaning, verification & de-duplication
Every record is verified before it lands in your warehouse: validity, currency, employer, de-duplicated across sources. Bad data is caught at the gate, not six weeks after a report that nobody trusts.
Warehouse builds & modelling
Modern warehouses on AWS, Google Cloud, Microsoft Azure or infrastructure you own, built around how your business actually reports: PostgreSQL, BigQuery or Snowflake. The schema is modelled by the people who will run it, not a consultant who hands over a diagram and leaves.
AI-ready dataset curation
Clean, well-structured training and retrieval sets prepared to the standard a model demands, the make-or-break step for any AI work, and our original specialism. A model is only as good as the data it learned from.
Market research & analysis
Competitor mapping, customer segmentation, TAM/SAM/SOM market sizing, and AI-assisted reading of reviews and social sentiment at a scale no analyst could. Findings land as live dashboards, not a PDF that is stale by the second meeting.
Custom feeds, APIs & dashboards
Where the data needs to go, it goes: a feed into your CRM, an API for your product, or a live dashboard your team actually reads. No PDF that is stale by the second meeting.
Sketch the state of your data in three taps.
Tap one block from each row - where the data lives, what’s going wrong, and what you want it to become. Thirty seconds, no wrong answers, and the 15-minute call starts with your map half-drawn.
Where your data lives…
…what’s going wrong…
…and what you want from us.
What are you running today?Optional - tick what you use and we’ll arrive speaking your stack’s language.
Databases & warehouses
Reporting & BI
Systems holding data
AI tooling
That’s plenty for one call - send them over.
That’s the shape. Send it over and we’ll arrive with a plan for exactly this.
That’s fine - most people aren’t.
Mapping where your data actually sits is exactly what the free call is for. But even a rough sketch doubles what we can cover in fifteen minutes: pick whichever blocks feel closest and we’ll refine them together on the call. There’s no wrong answer.
From raw data to decisions you trust
Scope
A 15-minute call, then we map where your data actually sits: siloed spreadsheets, a half-migrated warehouse, three SaaS exports nobody opens. You get the findings whether or not you hire us.
Build
We compile, clean and structure the data into a warehouse built around how you report, no rip-and-replace, on infrastructure that belongs to your business.
Run
We keep the pipelines fresh, the warehouse healthy, and the feeds flowing. When a source changes its schema at 7am on a Saturday, we usually know before your dashboard breaks.
What makes us different
Managed, not handover-and-vanish
A warehouse you do not maintain rots within a year: schema drift, orphaned fields, broken refreshes. We run what we build, so the data your team pulls on Friday is the same quality it was on Monday.
AI-ready by default
Every dataset we structure is built to the standard a model demands, because the hard part of AI is not the training; it is preparing clean, well-structured data. Your AI work starts on a foundation that already works.
A clear proposal, before we start
Every data estate is different. We scope it before we price it.
We assess the sources, data quality, modelling, warehouse, and refresh cadence involved, then send a written proposal that separates the initial work from ongoing care. You will know the deliverables, costs, and next steps before you decide. No hourly billing or surprise extras.
Book a 15-minute callFAQ
Do we have to replace our existing warehouse or database?
No. We build around what you have: PostgreSQL, BigQuery, Snowflake, or a pile of spreadsheets. Replacing your stack is never a requirement; we fill the gaps and migrate only what is worth migrating.
Where does the data come from?
Multiple sources: compiled public data, licensed providers, APIs, and your own systems, cross-checked and de-duplicated before it lands in your warehouse. We tell you the sourcing mix upfront; it is never a black box.
How fresh is the data?
Pipelines refresh on a schedule you set: daily, hourly, or event-driven. Stale data is caught at the source, not after it has reached a dashboard someone is making decisions from.
Can you prepare data for our AI work?
Yes, it is the foundation under most AI projects. Clean, well-structured training and retrieval sets are the make-or-break step, and data compilation is our original specialism. Your model trains on data that already works.
Can you turn the data into research, not just tables?
Yes. Market research is part of the service: competitor and market mapping, surveys and segmentation, market sizing, and ongoing monitoring with alerts. Good research stops you spending six months on the wrong idea, and ours is built on data we compiled and verified ourselves.
Who owns the warehouse and the data?
You do. The warehouse lives in your cloud or your own infrastructure, under your keys. If we ever part ways, the data and the system stay yours, with documentation and access handed over, no hostage-taking.
Can you work in AWS, Google Cloud or Microsoft Azure?
Yes. We build and run data platforms in AWS, Google Cloud and Microsoft Azure, working within your account, access controls and governance requirements. We can also work with infrastructure you already operate, so the platform fits your business rather than the other way around.
We are a small team. Is this overkill?
The smaller the team, the more a single bad dataset costs, because there is no slack to catch it manually. Our entry engagements are scoped for small teams who would rather not become data engineers.
Find out where your data actually sits, and where it’s rotting.
Book a free 15-minute call. You’ll leave with a map of your data landscape and the leaks, useful whether or not we work together.
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