In-house vs outsourced data entry: cost per record

Key takeaways

In-house vs outsourced data entry is the clearest cost case in back-office work. At 40 records an hour, in-house entry at the National Living Wage costs about £0.41 per record, or £0.48 at 85% utilisation. Outsourced at £9–£12 per hour, it costs about £0.23–£0.30. For 100,000 records a year that is roughly £18,000 saved.

• In-house: about £0.41–£0.48 per record at 40 records an hour.
• Outsourced: about £0.23–£0.30 per record at £9–£12 per hour.
• In-house: only when records need site knowledge or judgement.
• Outsourced: with validation rules and sample checks for accuracy.

What does data entry cost per record?

Cost per record is the loaded cost of an hour of work divided by records completed in that hour, plus the cost of fixing errors. It lets you compare in-house and outsourced options on the same basis, whatever the hourly rate.

• In-house vs outsourcing: which model is more cost-effective?
• Data entry outsourcing for UK businesses

What does a worked example look like?

An employee on the National Living Wage costs about £16.27 per worked hour. At 40 records an hour, that is £0.41 per record; at 85% utilisation, £0.48. For 100,000 records a year, about 2,500 productive hours, in-house costs about £40,700–£47,800.

Outsourced at an indicative £9–£12 per hour, the same volume costs about £22,500–£30,000. The saving is about £18,000 a year at the midpoints, before overheads and management on the in-house side.

• Staff utilisation rate: the cost of paid idle time

How do you keep outsourced data entry accurate?

Build accuracy into the process, not the person. Use validation rules in the system, required fields and drop-down lists, sample-check a percentage of records each week, and double-key critical fields such as amounts and bank details. Track the error rate on your scorecard.

• Validation rules and required fields.
• Weekly sample checks of completed records.
• Double-keying for amounts and bank details.
• Error rate reported monthly.

• Quality assurance for outsourced teams

When should data entry stay in-house?

When records need judgement or site knowledge, such as interpreting handwritten job sheets with local shorthand, or when volume is only a few hours a week and someone with spare time already does it well. In those cases, fix the form or automate capture first.

• AI versus BPO: what to automate and what to staff

Should you automate data entry instead?

Automate where the source is structured and consistent, such as digital forms or standard invoices. Outsource where sources vary, need reading and checking, or arrive in mixed formats. Many businesses combine the two: automation captures, people check and fix exceptions.

• BPO Solutions for UK businesses

What about data protection?

If the records contain personal data, the provider is a processor under UK GDPR and needs a written contract, and an offshore team needs a valid transfer safeguard. Give access only to the systems and fields needed.

• GDPR and offshore outsourcing

How do you prepare data entry for handover?

Collect ten real examples of each record type, including awkward ones, and write down how each field should be filled. Agree what the team should do when a source is unclear: flag it, skip it or ask. Clear rules for exceptions matter more than speed in the first weeks.

• Document your processes before you outsource

What does this look like in practice?

A pattern we see in UK logistics firms: proof-of-delivery details are keyed into the system by office staff at the end of each day, and backlogs build after busy weeks. A managed team keys them overnight with validation and sample checks, so billing starts the next morning.

• See client work

Data entry checklist

Use these steps to compare.

• Count records per month by type.
• Time a sample to get records per hour.
• Calculate in-house cost per record.
• Get outsourced per-hour or per-record quotes.
• Set validation and sample-check rules.
• Track cost per record and error rate monthly.

Next step

Send us your record types and monthly volumes. We will calculate cost per record both ways in a 30-minute call.