From findable to usable

Finding, preparing and delivering data

First we establish whether the data exists and can be obtained. If it is insufficient, we clean, structure or prepare a version to your conditions. For companies and research teams — we do not invent hit counts.

WHAT WE COVER

Six areas of work

From establishing what exists, to cleaning and preparing it, to delivering against your conditions. Each step produces something you can check.

Search first, then see if it can be obtained

Before any preparation starts, we search public sources to see whether the data exists, can be obtained, and is usable — so effort is not spent on a dead end.

Source checksAvailability assessmentCompliance boundaries

Deliverable: data availability assessment report (see a sample)

Clean and align it into usable tables

De-duplicate, align fields, convert formats. Scattered, mismatched material becomes a structure you can keep using.

Cleaning & de-duplicationField alignmentFormat conversion

Deliverable: structured, load-ready tables + cleaning notes

Research and panel data preparation

For research and industry analysis: multi-year panels with clear fields and consistent definitions, so you can reproduce results and keep going.

Panel dataMulti-source integrationConsistent definitions

Deliverable: multi-year panel in long format + field dictionary (see solution directions)

AI training and knowledge-base preparation

Corpora, samples, labels and notes for training, evaluation, Q&A and agents.

Training corporaKnowledge basesRAG & evaluation

Deliverable: cleaned corpora / labelled samples / evaluation splits

How acceptance is handled

Field notes, sources, missing values and exceptions accompany the files, so each item can be checked before further use.

Quality acceptanceSource notesReproducible

Deliverable: field descriptions + source notes + missing-value and anomaly notes

Custom dataset delivery

Tables, samples and notes packaged around your goal — not a fixed template.

Custom deliverySample filesOngoing support

Deliverable: data tables + sample files + delivery notes (view prepared datasets)

Database development and updates

When data needs ongoing updates, shared access, repeated queries or long-term maintenance, a thematic database can turn a one-off delivery into a data system you can keep using.

Depending on the project, work can include a data model and field system, multi-source ingestion, data standardisation and relationships, data quality rules, a query and management interface, and API access. Local, intranet or private deployment and scheduled updates can be arranged within the agreed scope.

Database services are delivered by project. Scope, deployment environment, update approach, maintenance period and acceptance criteria are confirmed before the project begins.

HOW WE DELIVER

Four steps: establish availability, then deliver

Each step produces a concrete deliverable you can check and accept, stage by stage.

View a sample availability report →

Search and assess

A real search against your confirmed conditions: closest matches, remaining gaps, and the next step. Establish availability before further spend.

Collect & clean

Data is obtained under each source's license, then cleaned, de-duplicated and aligned to consistent fields and definitions.

Acceptance notes

Field dictionary, source notes, and missing-value and anomaly notes — every deliverable can be checked.

Delivery & support

Data tables, samples and documentation delivered together, with follow-up additions as ongoing support.

Not sure it can be done? Start with a feasibility check

Tell us the topic and the must-haves. We check whether it can be obtained first, then talk about preparation and delivery.

Talk to us View search options and fees