Data Entry Outsourcing
How to Outsource Data Entry: A Complete Step by Step Guide
What you can outsource, where to send the work, how much it costs and the seven steps to turn scattered records into an accurate and reliable data entry process.
Data entry outsourcing means giving simple data entry work to an outside team. They enter and update the data, while you still control the rules, quality and systems. If the work is done well, it can cost much less than hiring an in-house team. If it is done badly, you may have to check and fix thousands of records by hand.
The seven steps are simple: check your workload, create a field dictionary, set data security rules, choose and check providers, agree on pricing and service levels, run a paid pilot and then onboard the team and track quality.
The result often depends less on the provider and more on how clear your rules are before you outsource data entry work. This guide covers the full data entry outsourcing process, from choosing what to outsource to checking quality and results after the work is handed over.
Baseline figures
3 fields
Offshore rate
$3–$15
Typical hourly range for offshore data entry, against $20 to $40 onshore.
Published BPO market benchmarks
In-house benchmark
$18/hr
Median wage for a US data entry keyer, before benefits and overhead.
Bureau of Labor Statistics
Error rate
1–4%
Manual data entry errors without verification controls commonly fall within the low single digits across published studies.
Peer-reviewed research
In this guide
01 / Scope
What Does Data Entry Outsourcing Actually Cover?
Data entry outsourcing can cover data entry, data cleanup, data validation, document processing, database updates and other repetitive data tasks. It works best when the volume is steady, the rules are clear and the results are easy to measure.
Here is the work businesses outsource most often.
| Workload | What the team actually does |
|---|---|
| Invoice and receipt processing | Enters vendor details, dates, line items and totals into your accounting system, flags mismatches |
| CRM and database updates | Adds and updates contact records, merges duplicates and fills missing fields |
| Product catalog and SKU entry | Adds product details, SKUs, prices and image data to an ecommerce or PIM system |
| Document and form digitization | Extracts data from scanned, handwritten and PDF forms using OCR, ICR or document processing tools, then checks the output |
| Claims and records processing | Handles medical, insurance and legal documents under HIPAA or equivalent controls |
| List cleanup and deduplication | Standardizes formats, finds duplicate records and checks them against a source of truth |
Related work such as web research support and lead list building often goes to the same team, using the same quality controls.
02 / Decision
Should You Outsource Data Entry?
Five signals say yes. The first is a gate, the rest are symptoms.
- The volume adds up to at least a half-time role and the expected savings are higher than the cost of managing the vendor.
- Skilled staff spend hours a week keying instead of doing the work you hired them for.
- A backlog never clears, or clears only when someone works a weekend.
- Volume swings seasonally and you cannot justify a permanent hire for the peak.
- Errors are being found downstream, in invoices, reports, or customer records.
Two things should stay in-house. Work that needs a business decision on every record, because you will spend longer explaining each exception than an internal person spends deciding it. And data your contracts or state law require to stay onshore, though you can often mask the sensitive fields and outsource the rest.
TIP
If you cannot write down the rule for a field in one sentence, an outside team cannot apply it. Use that as your sorting test.
03 / Location
Onshore, Nearshore, or Offshore?
Location is the biggest driver of price, and the trade is cost against working hour overlap.
Delivery location comparison
| Model | Typical rate | Best for | The catch |
|---|---|---|---|
| Offshore | $3 to $15 per hour | Batch work against a defined rule set, high volume, cost-sensitive | Limited live overlap, though most vendors staff a US shift for a premium |
| Nearshore | Roughly $20 to $40 per hour | Work needing same-day answers on exceptions | Around double offshore for the same keystrokes |
| Onshore | Roughly $20 to $40 per hour | Records your contracts or state law keep in the country | Highest cost by a wide margin, into a shrinking occupation |
Note: Rates are based on published vendor pricing.
Hiring in-house can cost more than it first appears. The median US data entry keyer earns $18 per hour before benefits, payroll tax, supervision and software. The Bureau of Labor Statistics also expects this job to decline by about 26 percent over the next decade, mainly because of automation.
Pick location by your exception rate, not by your budget.
If less than 5 percent of records need a human decision, offshore data entry can work well because there are fewer questions to handle. If more than 15 percent need decisions, time zone delays may reduce the savings.
04 / Provider type
Who Should You Outsource To?
There are several ways to outsource data entry. The right provider depends on your workload, how often the work comes in and how much control you want to keep.
Provider Types
| Provider Type | Best Fit | The Trade Off |
|---|---|---|
| Freelance marketplace | Small projects, one-time tasks or flexible support | You usually manage the work and quality checks yourself, and backup may be limited |
| BPO provider | High-volume data entry with clear rules and repeatable processes | Works well at scale but process changes may take longer to apply |
| Dedicated staffing agency or virtual assistant | Recurring work inside your own systems | You manage the daily tasks while the agency handles hiring, backup and replacement |
| Direct offshore hire | Long-term work where you want more control over the person and process | You take responsibility for recruiting, management, compliance and replacement |
Match the provider to the type of work, not only the hourly rate. A one-time backlog may fit a BPO provider or freelancer. Recurring work inside your CRM or other business systems may work better with a dedicated data entry virtual assistant or staffing model because the same person can build knowledge of your rules and records over time.
Whichever option you choose, providers that help businesses with data entry outsourcing services should be able to explain how they handle scoping, data entry, quality checks and exceptions before asking you to send the files.
05 / Process
How to Outsource Data Entry in 7 Steps
Four kinds of provider exist and they are not interchangeable.
01
Audit the Workload and Find Your Exception Rate
Write down four things before you contact a provider: monthly volume, peak volume, source format and destination system. Also check your exception rate, meaning the share of records that need a decision instead of simple data entry.
Exception rate can affect cost more than volume. A 50,000-record job with 2 percent exceptions is mostly routine work. At 20 percent, it needs far more questions, checks and decisions.
TIP
Take 100 to 200 of your own records. Count how many you could not finish until someone answered a question. That number is your real exception rate, and it is the most useful figure to bring to a vendor call.
02
Write the field dictionary
This is the step most businesses skip and the one that decides the result. A field dictionary turns implicit rules into explicit ones. Build it as a spreadsheet, one row per field, with a version number and an owner. It needs:
- Field definitions: What each field holds and where in the source document it comes from.
- Format rules: Dates, phone numbers, currency, addresses, name casing, product and invoice codes.
- Valid values: What is allowed, what is required, and what is out of range. No future dates, no negative amounts.
- Source precedence: When the purchase order and the invoice disagree, which one wins.
- Blank field handling: What to enter when the source is empty. Blank, N/A, and null are three different answers.
- Duplicate and survivorship rules: What counts as the same record, and which version survives a merge.
- Exception rules: What to flag rather than guess, who receives the flag, how fast you answer, and what the keyer does while waiting.
- A sample set: Ten to twenty completed records showing correct output, three or four ugly edge cases, and a few wrong ones labeled with why.
03
Set the security perimeter
Set these rules before any data leaves your system, not during contract review. Four controls must be live before any data moves: an NDA for everyone with access, role-based access removed within one day, secure transfer through SFTP or a logged cloud folder, and masking any fields the team does not need. The full ten-point list is in the security and compliance section below.
04
Shortlist and vet providers
Shortlist three to five providers and compare them using the eight criteria in the provider selection section below. Ask each one for a client reference in your industry and contact that client. A case study shows what the provider wants to highlight. A short call shows what the client actually experienced.
05
Agree pricing and a service level
Pick a pricing model that fits your workload. Then put the quality rules in writing. Your service level needs five things: the accuracy target, how you will check it, the sample size, the turnaround time, and what happens when the provider misses. Rework should cost you nothing.
06
Run a paid pilot
Never sign a long contract off a sales call. Buy 300 to 1,000 records first, chosen so your edge cases are included rather than avoided. Seed in 100 records you have already completed correctly and compare their output against yours, field by field. Set the pass thresholds in writing before work starts: 99.5 percent field-level accuracy on a random audit sample, and at least 95 percent of ambiguous records flagged rather than guessed.
TIP
Pay for the pilot. Free trials get staffed with a provider’s strongest operators, which tells you nothing about the team you will be assigned.
07
Onboard, then set the quality rhythm
Onboarding runs two to four weeks when your process is documented and four to six when it is not. Audit at one hundred percent during that window, then drop to a five or ten percent random sample once accuracy holds steady. Use double key verification on amounts, dates, and identifiers, where two operators key independently and mismatches route to a checker.
Then hold a monthly root cause review and feed recurring error types straight back into the field dictionary. Name one internal owner for the relationship. Outsourced engagements fail more often because nobody on the client side owned them than because the provider underperformed.
06 / Cost
What Does Outsourcing Data Entry Cost?
Data entry outsourcing cost depends on four things: team location, source quality, how much judgment each record needs and the pricing model you choose.
Pricing models
| Pricing Model | How It Works | Best For | Watch For |
|---|---|---|---|
| Hourly | Pay for time worked | Unstructured sources and changing workloads | Costs can rise unless you cap hours |
| Per record | Fixed price for each completed record | High-volume, consistent work | Complex records may cost more |
| Dedicated monthly | Pay for a named full-time or part-time specialist | Ongoing work with changing rules | You still pay during slower periods |
| Fixed project | One price for a defined project | Backlogs and digitization work | Extra work may increase the final cost |
Compare every quote using the cost per 1,000 finished records.
Hourly rates alone can be misleading. A provider charging $9 per hour and completing 40 records may cost more than one charging $14 and completing 90. A finished record means one that passes the quality check. Compare this cost with your in-house cost and published data entry pricing before choosing a provider.
07 / Selection
How to Choose a Data Entry Outsourcing Provider
Compare every shortlisted provider using these eight criteria.
- Relevant experience: Ask about your record type, not their service list. A provider who has keyed thousands of documents like yours will name the edge cases before you do.
- Quality process: Find out who checks the work. If it is the same person who keyed it, there is no quality process.
- Turnaround and capacity: Ask what happened the last time a client doubled volume with a week of notice. A real answer has a date in it.
- Security: Ask for the certificate itself. Website badges are images.
- Communication: Get a name, a time zone and a response time. The account team is not a name.
- Scalability: Ask how long it takes to add two trained people. Anyone can hire; the question is how fast they become useful.
- Pricing transparency: Ask what the quote leaves out. Every quote leaves something out and few providers volunteer it.
- Exit terms: Confirm who owns the process documents and field dictionary when the work ends.
Then ask every provider these five questions.
- Who checks the work, and is it the same person who entered the data? It should not be.
- What accuracy rate do you promise, how do you measure it and what sample size do you use? A percentage means little without a clear method.
- What happens when a record is unclear? Look for a clear escalation process and response time.
- What percentage of delivered records are usually sent back by clients? A provider with a strong quality process should track this.
- What does rework cost? It should normally be free when the work misses the agreed quality standard.
If you want a more detailed way to compare providers, our guide on how to choose an outsourced data entry provider includes a full evaluation process and scoring template.
08 / Security
Data Security and Compliance Requirements
Security is the most common reason a data entry project stalls after the contract is signed. Settle these ten points in writing first.
- NDA covering individuals: Every named person with access, not only the company.
- Role-based access with a removal window: Permissions scoped to the task, revoked within one business day when anyone rolls off.
- The work environment: Whether keyers sit in a controlled facility or at home, and whether phones, printing, screenshots and USB are blocked. A camera defeats every other control on this list.
- Secure transfer: SFTP or an access-controlled cloud folder with logging. Not email attachments.
- Field masking: Most keying work does not need full identification or card numbers. Strip what the team will never touch.
- The right regulatory instrument: Health records need a business associate agreement. EU or UK personal data needs a data processing agreement, plus standard contractual clauses when the team sits outside the adequacy list, which India and the Philippines both are. Card data brings PCI DSS into scope. Separate documents, not one clause.
- Subcontracting consent: Whether the vendor can pass your work to anyone else, and your right to refuse. HIPAA requires a BAA down the chain and GDPR requires your authorization.
- Breach notification window: Set it in the contract. HIPAA allows a business associate up to 60 days, which is far too slow to be useful to you.
- Certification evidence: The ISO 27001 certificate or SOC 2 Type II report itself, with the date and the scope checked. One covering head office but not the delivery center proves nothing.
- Data residency, retention, and deletion: Which country the records sit in, how long copies are kept, and written confirmation when they are destroyed.
Choosing between an ISO 27001 certificate and a SOC 2 Type II report is not obvious, and neither tells you much without checking the scope. Our guide to data entry accuracy standards and data security covers what each one actually proves and which security KPIs to hold a provider to.
TIP
Bring IT and compliance in during step 3, not at signature. A security team that first sees the engagement at contract review will delay it by weeks, and they will be right to.
09 / Measurement
What to Measure After Handoff
If you only track records delivered and invoices paid, everything in between is a black box. Five numbers, reviewed weekly, and each one points at a specific break.
Weekly Quality Report
| Metric | Target | What A Low Number Means |
|---|---|---|
| Field level accuracy | 99.5% or higher on the audit sample | The field dictionary is ambiguous, or the keyer is checking their own work |
| Exception flag rate | 95% of the ambiguous records in your audit sample were flagged, not guessed | The team is guessing to protect throughput |
| First pass yield | 95% of records need no rework | Your dictionary has gaps the team is working around |
| Turnaround adherence | 95% inside the agreed window | Volume forecast is wrong or the account is understaffed |
| Rework rate | Under 2% at steady state | Root causes are not being fed back into the dictionary |
TIP
If accuracy drifts around month four, check whether the field dictionary was ever updated after month one. It usually was not, and the drift is yours.
10 / Frequently asked
Frequently Asked Questions
Offshore providers typically run $3 to $15 an hour, nearshore providers around $20 to $40 and onshore providers around $20 to $40. Per-record and dedicated monthly pricing are also common. Compare quotes using the cost per 1,000 finished records because hourly rates alone do not show throughput.
Yes, with the right controls. A commitment at or above 99.5 percent field level accuracy is standard, with double key verification on amounts and identifiers and a reviewer who is not the person who keyed. The bigger variable is the clarity of your instructions rather than the provider.
A freelancer suits a one time task you can check yourself. An agency suits anything recurring, because you are buying quality control, cover when someone is out, and a replacement process rather than a pair of hands. Once the work becomes weekly, a marketplace hire starts costing management time that never appears on the invoice.
Two to four weeks when your process is documented, four to six weeks when it is not. Most of that time goes into the field dictionary, the sample set, and access provisioning rather than training.
No. They change the work rather than end it. Software handles the first pass on clean, structured documents. People handle the rest: poor scans, odd layouts, and anything the software cannot read with confidence. How much it can do depends on your documents, so ask each provider two things. What share of your records go through with no human check, and who checks the rest?
Start With Your Own Numbers
Pull 100 to 200 of your own records and count how many you could not complete without asking someone a question. That is your exception rate, and it decides your location, your pricing model, and your provider type. Then open whatever passes for data entry instructions today and check whether it says what goes in a blank field, or which duplicate survives a merge.
Those two answers put you ahead of most businesses that outsource this work, before you have spoken to a single provider. If you still have questions about pricing, security or the process, see our data entry outsourcing FAQs.
Your Data, Handled
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Send a 200 record sample and a description of the workload. We come back with an exception rate, a cost per thousand finished records, and the three gaps in your current handoff.
NDA signed before any file transfer. Sample batch returned in your own output format.
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