Data cleansing services that leave every record usable Damco deduplicates, fixes, and formats your records, and a person answers for each batch

Every cleanup starts with a measure of how dirty the data is. We profile a sample of your records and count duplicates, empty fields, invalid values, and records that break your own rules, such as an order with no customer.

You get a short report that says what's wrong, how often, and what it costs you, for example 9% of accounts with no billing contact. We agree what to fix first from that report, and we run the same audit again at the end.

Duplicates are where most CRM data cleansing starts. The same company appears as "Acme Corp", "ACME Corporation", and "Acme Corp." with three owners and three histories.

Agents compare names, addresses, domains, and phone numbers and score each likely pair. Clear matches merge by the rules you approved. Unclear ones go to a person, who decides and records the reason, so your sales team keeps the right history.

Data formatting puts every field in the shape your systems expect: text case, date and number formats, field length, units, and column order. We also format data from one form to another, such as spreadsheets, database extracts, PDFs, emails, and HTML pages into one clean file.

We follow your style guide to the letter, and where there isn't one, we write it with you before we start.

Standardization makes the same thing read the same way everywhere. Country names become ISO codes, job titles map to a short list of roles, and spelling errors and typos are corrected against a reference list.

Where a value can't be set by a rule, a reviewer checks the entry by hand rather than guessing.

• One format for names, addresses, and phone numbers
• One code list for countries, states, and units
• Every exception sent to a person, never guessed

Data scrubbing removes what shouldn't be there: test records, placeholder values like "n/a" or "000-0000", and contacts who have left their company. We update outdated fields from sources you approve and mark every record we change, so you can see what moved and why.

Records decay. People change jobs, companies move, and new entries arrive with the old mistakes. We can check new and changed records every week or month, so the database you paid to clean stays clean, and the agents get better at your data with each correction a person makes.

Raw data carries errors, duplicates, and gaps, and every report and campaign built on it inherits them. Cleansing fixes the errors, merges the duplicates, and sets one format, so your teams stop arguing about whose list is right and act on the same records.

We work in the environment and under the access rules you agree with us, and only the people on your project can open your data. Everyone on the work signs a confidentiality agreement. If your industry has its own rules, tell us at the start and we'll set the project up around them.

It depends on how many records you have, how dirty they are, and how many rules we agree. A list of a few thousand contacts can take days, and a large CRM or ERP cleanup runs in weekly batches. We give you a date after the audit, not before.

We price per record, so the cost follows the size of your data and the work each record needs. The audit on a sample tells us both, and we quote a fixed price per record from it.

Both. Agents do the matching, formatting, and checking at volume, and a trained person decides every record they flag as unclear. One named owner on our team signs off each batch and answers for its accuracy.