Data Cleansing Services That Leave You a Script, Not Just a Clean File
Data cleansing means finding and fixing the errors in a dataset: duplicates, inconsistent formats, missing values, typos, and records that contradict each other. It matters most right before something important, such as a migration, a CRM import, a mailing or an analysis.
We clean data with code rather than by hand. Every change is made by a script that can be reviewed, rerun on next month's export, and audited later. You get the clean data, a report of what changed and why, and the script itself.
This is for you if
- ✓You are about to import into a new CRM or system and the data is a mess
- ✓Your customer list has the same people three times with different spellings
- ✓Addresses, phone numbers and dates arrive in a dozen formats
- ✓You merged two businesses, or two databases, and need one clean list
This is probably not for you if
- ✕You need data typed in from paper forms — that is data entry, and a specialist data entry firm will be cheaper
We would rather tell you now than take the project and disappoint you.
Worth knowing: Deduplication is a judgement call disguised as a technical task. "J. Smith, 12 Oak St" and "John Smith, 12 Oak Street" are probably the same person; "John Smith" and "John Smith Jr" at the same address probably are not. We agree the matching rules with you on a sample first, so the script merges what you would merge.
What you get
Deduplication
Exact and fuzzy matching on names, emails, phones and addresses, with merge rules you approve on a sample first.
Standardization
Phone numbers in international format, addresses split into fields, and consistent dates, casing and country codes.
Validation
Emails checked for format and dead domains, required fields enforced, and impossible values flagged.
Encoding repairs
Broken accents and symbols from bad exports fixed, so "José" becomes "José" again.
A change report
Counts of every fix, a list of merges, and the records a person needs to decide on.
A repeatable script
The cleaning as Python or SQL you can run again on the next export, so the mess does not return.
How a cleaning job runs
- 1You send a sample or the full export under an NDA, or give us read access.
- 2We profile it field by field: row counts, duplicates, blanks, formats and outliers.
- 3We agree the rules with you, using real examples from your data.
- 4The script runs on a copy, and you review the change report and the uncertain cases.
- 5Clean data is delivered in the format you need, and our copies are deleted.
Tools we use
Scripts, not spreadsheets, so every change can be checked and repeated.
Cleaning
Python, pandas, DuckDB and SQL
Matching
Fuzzy matching, phonetic keys, address parsing
Formats
CSV, Excel, Google Sheets, JSON, database exports
Direct access
CRM and database APIs, after a full backup
Not sure whether data cleaning is what you actually need? Send over what you are trying to fix and we will tell you straight — including if a smaller job would do it.
Ask us first →How it works
Profile
A first pass over the data showing what is wrong and how much of it.
Agree rules and quote
Matching and formatting rules signed off, with a fixed price.
Clean and report
The script run on a copy, with a change report and a list of uncertain records.
Deliver
Clean data, the report and the script, with our copies deleted afterwards.
Work you can check
Real work that uses the same skills. Every card links to something you can open and inspect yourself.
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Questions
How much do data cleansing services cost?
One-off cleaning of a single export starts at $900. Larger jobs with several sources, complex matching or a recurring cleaning pipeline usually run $2,000–$6,000. The price depends far more on how messy the data is than on how many rows it has.
How many records can you clean?
Row count is rarely the limit. Scripts handle millions of rows on ordinary hardware; what takes time is agreeing the rules for the messy cases.
Is our data safe?
We work under an NDA, on encrypted machines, with access limited to the job, and delete our copies when it is done. For very sensitive data we can work inside your own environment instead of taking a copy.
Can you clean data directly in our CRM?
Yes, through the CRM's API, after a full backup and a dry run that shows every change before it is applied.
What formats do you work with?
CSV, Excel, Google Sheets, JSON and database exports, and data pulled directly from CRMs and other tools through their APIs.
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