Cleaned file
CSV, Excel, JSON, or a direct load into your database or CRM staging table, in the column layout your import expects.
Data quality, done right
Data Cleaning & Cleansing Services UK
We take messy, inconsistent records and return clean, deduplicated data your team can rely on. 99.8% accuracy, UK postcode and address validation, and GDPR-compliant handling throughout.
99.8%Accuracy rate
50M+Records cleaned
48hrTurnaround
What we clean
What our data cleaning covers
UK business data decays quickly. Companies House listed 5.45 million companies on the register at the end of 2025, and ONS business demography counted 317,000 business births against 280,000 deaths in 2024 alone. A B2B database left uncleaned for a year is competing with that turnover.
Duplicate Detection & Removal
Advanced algorithms identify and remove exact and fuzzy duplicates across multiple data sources, ensuring unique, clean records.
- Exact match duplicate removal
- Fuzzy matching for similar records
- Cross-platform deduplication
- Preservation of best quality records
Data Standardisation
Standardise formats, naming conventions, and data structures across your entire database for consistency and reliability.
- Address standardisation (PAF compliant)
- Phone number formatting
- Date format standardisation
- Name and title normalisation
Data Validation & Verification
Verify email addresses, phone numbers, postal addresses, and business details against authoritative UK databases.
- Email validation & verification
- UK postcode verification
- Phone number validation
- Business registration checks
Data Enrichment
Enhance existing records with additional relevant information from trusted UK data sources and business directories.
- Missing field completion
- Geographic data appending
- Industry classification
- Social media profiling
Quality Scoring
Comprehensive quality assessment with detailed scoring metrics to identify data reliability and completeness levels.
- Completeness scoring
- Accuracy assessment
- Consistency evaluation
- Timeliness analysis
Ongoing Monitoring
Continuous data quality monitoring with automated alerts for data degradation and proactive maintenance recommendations.
- Real-time quality monitoring
- Automated anomaly detection
- Quality trend reporting
- Maintenance scheduling
Specialist work
Specialist data cleansing services
Most cleaning projects fall into one of four jobs. Each has its own failure modes, and we handle all four routinely.
Email data cleansing
Marketing lists decay. Addresses go stale, duplicates creep in from multiple sign-up forms, and invalid entries drag down deliverability. We verify each address, remove duplicates and dead entries, and flag records missing the consent fields GDPR expects.
Postcode & address cleaning
UK addresses arrive in every format imaginable. We validate postcodes, standardise addresses to Royal Mail PAF conventions, and fix the casing, spacing and county inconsistencies that break mailing runs and territory reports.
Charity data cleansing
Donor and supporter databases carry years of accumulated inconsistency: lapsed contacts, duplicate households, gift-aid records with missing fields. We deduplicate households, refresh contact records, and check gift-aid and consent fields rather than guessing at them, under GDPR throughout.
CRM migration data cleaning
Migrating a CRM with dirty data just moves the problem. We deduplicate, standardise and validate your records before import, so the new system starts clean rather than inheriting a decade of drift.
How it works
Our data cleaning process
01
Data Assessment
Comprehensive analysis of your data structure, quality issues, and business requirements. We provide a detailed audit report with quality metrics and recommendations.
02
Cleaning Strategy
Custom cleaning methodology developed based on your data characteristics, business rules, and quality objectives. Clear project timeline and deliverables defined.
03
Data Processing
Advanced algorithms and manual validation processes applied to clean, standardise, and validate your data. Real-time progress monitoring available.
04
Quality Assurance
Rigorous testing and validation of cleaned data against predefined quality criteria. Statistical sampling and manual verification for critical records.
05
Delivery & Support
Secure delivery of cleaned data in your preferred format with comprehensive documentation. Ongoing support and monitoring services available.
Before & after
What a cleaned delivery looks like
Illustrative layout only, not client data.
Before (placeholder)
name postcode status A. Example ab1 2cd Active A Example AB12CD active
After (placeholder)
name postcode status A Example AB1 2CD Active
In detail
What happens to your file, step by step
The five stages above are the shape of every job. This is what actually happens to your file inside them.
01
Profile the file first
Before anything is changed we profile every column: fill rate, the formats present (three date formats in one column is normal), and duplicate candidates found by fuzzy match on name, postcode and email rather than exact string equality. The profile comes back to you as a short report, so the scope is based on what is in the file, not what the export was supposed to contain.
02
Agree the rules in writing
Every transformation is written down before it runs: which record survives a merge, how addresses are cased, what counts as an invalid email, which fields must never be touched. You sign off the rule list. That document is the specification for the job and the reference if a result is ever questioned.
03
Run the rules with a diff
The rules run as a script against a copy of your file. The output is the cleaned file plus a before/after diff at row level, so you can open any changed record and see the old value, the new value, and the rule that changed it.
04
Rejects file
Rows the rules could not fix with confidence are not guessed at. They go into a separate rejects file with the reason (postcode not found, two plausible merge candidates, date ambiguous), so a person decides rather than an algorithm.
05
QA and delivery
We sample the cleaned file and check it against the agreed rules and against records you already know to be correct. The cleaned file, the diff, the rejects and a QA report are delivered together in the format your system imports, with GDPR-compliant handling throughout.
06
A script you keep
The rule set is delivered as a script. When the next export comes out of the CRM, the same rules run again without the setup work, so the second clean costs a fraction of the first and the results are consistent between runs.
Deliverables
What you receive
Every job produces the same set of files. You can ask for more, but you never get less.
Before/after diff
Row-level record of every change: original value, new value, and the rule that applied. Open it in a spreadsheet or load it alongside the cleaned file.
Rejects file
Rows we could not fix automatically, each with a reason code, ready for a person to work through or for a follow-up rule.
Field dictionary
One line per column: name, type, format applied, and validation performed, so anyone importing the file knows what each field now holds.
QA report
Fill rates before and after, duplicates merged, addresses and emails validated, and the sample checks run with their results.
Repeatable script
The agreed rules as a script that runs on your next export. Available as a one-off, or on a scheduled weekly or monthly run if the data keeps arriving.
In practice
Where to see it in practice
To see how these steps play out on real jobs, read the case studies.
Who we work with
Industries we serve
Financial Services
Customer data cleaning for banks, insurance companies, and investment firms. Ensure compliance with FCA requirements and improve customer targeting.
Retail & E-commerce
Product catalogue standardisation, customer database cleaning, and inventory data validation for improved operations and marketing effectiveness.
Healthcare
Patient record standardisation, medical data validation, and research dataset preparation compliant with NHS and GDPR requirements.
Property & Real Estate
Property listing standardisation, address validation, and market data cleaning for estate agents, developers, and property platforms.
Manufacturing
Supplier database cleaning, product specification standardisation, and inventory data validation for improved supply chain management.
Technology
User data cleaning, API data standardisation, and database migration support for software companies and tech startups.
Transparent pricing
Transparent pricing
Basic Cleaning
£0.15/record
- Duplicate removal
- Basic formatting
- Email validation
- Quality report
Minimum 10,000 records
Request a proposalProfessional Cleaning
£0.25/record
- Everything in Basic
- Data standardisation
- Address verification
- Phone validation
- Business data checks
- Detailed quality scoring
Most popular option
Request a proposalEnterprise Cleaning
Custom
- Everything in Professional
- Data enrichment
- Custom business rules
- Ongoing monitoring
- API integration
- Dedicated support
Contact for quote
Request a proposalQuestions
Frequently asked questions
How accurate is your data cleaning process?
Our advanced algorithms and quality assurance processes achieve 99.8% accuracy rates. We provide detailed quality metrics and guarantee our results.
How long does data cleaning take?
Typical projects are completed within 48-72 hours for standard cleaning. Complex projects may take 1-2 weeks. We provide detailed timelines during project planning.
Is my data secure during the cleaning process?
Yes. We use encryption, secure transfer protocols, and strict access controls, and we work under NDA.
What formats do you accept and deliver?
We accept all common formats including CSV, Excel, XML, JSON, and database exports. We deliver in whatever format your systems need.
Do you clean email marketing lists?
Yes. We verify each address, remove duplicates and invalid entries, and flag records missing GDPR consent fields, so your list deliverability recovers before your next campaign.
Can you clean our CRM data before a migration?
Yes, and before import is the right time to do it. We deduplicate, standardise and validate your records from a CSV, Excel or database export, so the new CRM starts clean.
Do you provide ongoing data maintenance?
Yes, we offer ongoing monitoring and maintenance services to ensure your data quality remains high over time. This includes automated quality checks and regular updates.
What happens if you can't clean our data to the agreed standards?
We guarantee our quality standards. If we can't meet the agreed metrics, we'll either improve the results at no charge or provide a full refund.
Ready to clean your data?
Get a free data audit worth £500 and discover how clean data can transform your business operations.