Data Cleaning & Enrichment for Datasets You Can Trust
Raw data is rarely ready to use - duplicates, inconsistent formats and gaps undermine every analysis built on it. Our data cleaning and enrichment service turns messy datasets into clean, normalized, enriched records your team can rely on.
Messy data quietly breaks every decision
Duplicate rows inflate counts, inconsistent formats break joins, and missing values skew averages. When a dataset is dirty, every report and model built on it is suspect - and teams lose hours fixing the same issues by hand. Clean, enriched data has to come before the analysis.
Datasets that are ready to analyze
This is a managed service - we take a raw dataset and return clean, normalized, enriched records in the schema you need.
Duplicates removed, errors fixed, formats fixed.
From raw file to a validated cleaned sample.
Useful context added to every record.
A full cleaning and enrichment workflow
One service covering the path from messy input to analysis-ready output.
Data audit
We assess the raw dataset's quality issues.
Deduplication
Duplicate and near-duplicate records removed.
Normalization
Consistent units, formats and labels.
Error correction
Obvious errors found and fixed.
Missing values
Gaps handled with an agreed approach.
Categorization
Records tagged into consistent categories.
Enrichment
Derived and matched fields added.
Delivery
Clean output in your chosen format.
What US teams use cleaning and enrichment for
Any dataset that needs to be trustworthy before it is used.
Analytics prep
Clean data before it reaches BI tools.
CRM hygiene
Dedupe and standardize contact records.
Catalog cleanup
Normalize product data across sources.
Migration prep
Clean data ahead of a system migration.
Model inputs
Prepare reliable inputs for models.
Merging sources
Combine multiple datasets cleanly.
This is what your team receives
Clean, normalized, enriched rows in your chosen schema. Fields are customized - example below.
cleaned_enriched_sample.csv
● LIVE SCHEMA
| Record ID | Name (clean) | Category | Value | Region (enriched) | Quality | Processed (UTC) |
|---|---|---|---|---|---|---|
| CLN-0001 | Item One | Type A | $24.99 | Northeast | Verified | 2026-05-22 06:00 |
| CLN-0002 | Item Two | Type B | $31.50 | Midwest | Verified | 2026-05-22 06:00 |
| CLN-0003 | Item Three | Type A | $18.00 | West | Verified | 2026-05-22 06:00 |
From messy file to clean dataset
A simple five-step path - and you talk directly to the engineers handling your data.
Send the data
Share the raw dataset and the issues you see.
We audit
We assess quality and propose a plan.
Cleaned sample
You review a cleaned sample in 3-7 days.
Full processing
We clean and enrich the whole dataset.
Ongoing option
We can repeat this on every new batch.
A US-focused data cleaning partner
We treat cleaning and enrichment as a managed service on US response hours - so your team gets datasets it can trust without spending its own hours on cleanup.
Fast pilots
A cleaned sample within 3-7 days.
Quality first
Audit, rules and checks on every dataset.
Analysis-ready
Output structured for your systems.
Direct access
You talk to the engineers, not a queue.
About data cleaning & enrichment
Data cleaning involves removing duplicates, fixing formatting, standardizing units and labels, correcting errors and handling missing values, so a dataset becomes consistent and reliable to analyze.
Data enrichment adds useful context to existing records - for example standardized categories, derived fields, or matched attributes - so the dataset answers more questions than the raw version could.
Yes. We work with datasets you provide as well as data we collect. We assess the raw file and propose a cleaning and enrichment plan during scoping.
Client data is handled under our service agreement, used only for the agreed project and protected with appropriate controls. We confirm handling terms before any data is shared.
We deliver cleaned and enriched data as CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, in the schema you specify.
Turn a messy dataset into a clean one
Send us a sample of your data and we'll return a cleaned, enriched sample within 1 business day.