Data Entry and Data Processing Outsourcing Services
Kore BPO staffs trained data entry and data processing teams who handle high-volume entry, document digitization, and data cleansing so your staff stop re-keying records by hand. Screened candidates in 5-10 business days, no upfront fees.
What Are Data Entry and Data Processing Outsourcing Services?
Somewhere in your company right now, someone with a real job title is retyping numbers from a PDF into a spreadsheet. A finance manager keying vendor invoices by hand. An operations coordinator updating CRM fields one record at a time after a trade show. A clinic front desk re-entering insurance claims information the patient already typed once on an intake form.
That work has to get done, and it rarely gets done fast or cleanly when it is squeezed between someone's actual responsibilities. Fields get skipped. Numbers get transposed. A backlog builds, then somebody works a weekend to clear it, and the cycle repeats next quarter.
Before you decide whether this is worth outsourcing, it helps to see the real numbers side by side. Our data entry and data processing outsourcing pricing guide breaks down what trained offshore and nearshore teams actually cost by task type. If you are weighing building this in-house against handing it to a partner, the in-house vs. outsourced comparison walks through both paths honestly, including where keeping it in-house still makes sense.
We also staff dedicated back-office and administrative support roles for companies whose gap is broader than records processing alone. See administrative support services or offshore administrative assistants if that fits your situation better.
The Real Cost of Keeping Data Entry In-House
A dedicated data entry hire in the US is not cheap just because the job title sounds entry-level. The Bureau of Labor Statistics puts the median wage for data entry keyers at $18.17 an hour as of its most recent release, before payroll taxes, benefits, software licenses, or the desk they sit at. And that number assumes you can find someone, train them, and keep them long enough to get good at your specific records.
The error rate is the part most companies underestimate. An often-cited industry benchmark puts manual data entry error rates at 1% to 4% at the field level. Gartner research puts the cost of catching and fixing a single data entry error in financial services at $53 to $98 once detection, investigation, and correction are all factored in. Multiply that across a few thousand records a month and the real cost of in-house entry stops looking like a line item and starts looking like a leak.
What Our Data Entry and Processing Teams Actually Handle
Not every engagement needs all four. Most clients start with one and expand once the first team proves out.
High-Volume Data Entry
Order forms, applications, surveys, and spreadsheets keyed accurately at volume, with double-entry verification on fields you flag as critical.
Document Digitization
Scanned invoices, claims, contracts, and paper archives converted into searchable, structured digital records your systems can actually use.
Data Cleansing and Validation
Duplicate records merged, missing fields flagged, formatting standardized, and CRM or ERP data checked against your own validation rules.
Data Processing and Formatting
Raw exports transformed into the structure your reporting tools expect, from CSV cleanup to multi-source data reconciliation.
Six Scenarios That Bring Companies to Us
Your Back Office Is Buried in Paper
Invoices, claims, or applications are piling up faster than your team can key them, and the backlog is starting to delay real decisions.
You're Launching or Migrating a Product Catalog
Thousands of SKUs need descriptions, pricing, and attributes entered consistently before a new storefront or ERP system can go live.
Claims or Intake Forms Need Fast, Accurate Entry
Healthcare and insurance intake generates a steady stream of forms that need keying into a system of record without errors that trigger denials.
Your CRM Has Years of Dirty Data
Duplicate contacts, missing fields, and inconsistent formatting are quietly breaking your reporting and your sales team's trust in the data.
Logistics Paperwork Outpaces Your Team
Bills of lading, customs forms, and shipment manifests need entry on a schedule that does not pause for staffing gaps.
You Need Research or Survey Data Structured Fast
Raw survey responses or market research exports need cleaning and structuring before anyone can actually analyze them.
Our Process for Standing Up Data Entry and Processing Support
Coverage only works if the quality control is built in from day one, not added after the first mistake.
Map Your Data Volume and Formats
We review sample records, source documents, and the systems you use so we size the team to your actual volume, not a generic estimate.
Build the Accuracy Standard
We agree on field-level accuracy targets and double-entry rules for anything flagged as critical, before a single record gets keyed.
Screen and Place Specialists
Candidates are tested on your specific data types and tools before you see a resume. First candidates in 2-5 business days.
Run a Pilot Batch
A small batch runs first so you can audit accuracy against your own standard before full volume goes live.
Monitor and Adjust Quality
Thirty, sixty, and ninety day reviews check error rates and throughput, and we adjust staffing or process as volume shifts.
Quality control is where most self-built data entry falls apart. A record entered once with no second check looks fine right up until it is wrong in a way nobody catches for months.
We build spot-check and double-entry verification into the account from day one for anything you flag as critical, not as an afterthought once an error has already cost you a decision. It is step 2 of the process above, built before anyone starts keying your real records.
Tell Us Your Volume and Format. We'll Size the Right Team.
Share a sample of what needs entering, whether it's PDFs, scanned forms, or a messy spreadsheet, and we'll tell you honestly how many people this actually takes.
Ways to Structure Your Data Entry Engagement
Dedicated Team
Specialists hired and trained specifically for your data types and tools, working as an extension of your own back office long-term.
Contract-to-Dedicated
Start with a 90-day contract to clear a backlog or handle one data type. Expand or convert to a dedicated team once the model proves out.
Project or Seasonal Batches
Fixed-scope engagements for a one-time migration, catalog launch, or seasonal volume spike, with a clean off-ramp when the batch is done.
For a full breakdown of what each model costs by task type and volume, see our data entry and data processing outsourcing pricing guide. If you are not sure which model fits, our how to choose a data entry and data processing outsourcing partner guide walks through the decision step by step.
Who This Is and Isn't Built For
Outsourced data entry and processing works well in specific situations. Here is an honest breakdown of both sides.
Good Fit - Companies That Get Real Value
- ✓A real, recurring volume of forms, invoices, or records to key or clean, not a one-off ten-record task
- ✓A growing CRM or ERP data quality problem nobody has had time to fix
- ✓Digitizing paper archives before a system migration or audit
- ✓Ecommerce or catalog-heavy companies onboarding large product sets
- ✓Healthcare, logistics, or financial operations where intake volume outpaces in-house capacity
Not a Good Fit - Be Honest With Yourself
- ×Very low, irregular volume where a part-time in-house hire or an OCR tool already handles it fine
- ×Data so sensitive or judgment-heavy it genuinely cannot leave an internal system without legal review first
- ×No source documents or system of record to work from, just a vague idea of what needs entering
- ×Expecting same-day turnaround on a backlog that took years to build
If your actual monthly volume is a few hundred records, a dedicated outsourced team is probably overkill, and we will tell you that instead of selling you headcount you do not need. A smaller batch engagement, or in some cases a well-built OCR tool, may genuinely serve you better. We would rather size this correctly than oversell it and lose the account at renewal.
What Buyers Ask Before They Commit
What does data entry and data processing outsourcing actually cost?
It depends on task type, volume, and accuracy requirements. Simple high-volume keying costs far less than document digitization with manual review, or data cleansing that requires judgment calls on messy records. Rates also vary by country, with offshore teams generally running well below US onshore rates. Our data entry and data processing outsourcing pricing guide breaks down real ranges by task type so you can budget before your first call.
How accurate is outsourced data entry compared to doing it in-house?
With double-entry verification and defined accuracy targets built in from the start, outsourced teams typically match or beat the in-house benchmark, mainly because quality control is a built process step rather than something squeezed between someone's other job duties. The accuracy standard is set before a single record gets keyed, which is step 2 of our process above.
Is my data safe if I outsource data entry?
Your data stays on the platforms and access controls you already use. Agents work inside your own systems under permissions you set and can revoke, rather than copying records into a third-party tool. If your records require specific handling, tell us upfront so we can structure access and review steps around that from day one.
How fast can a data entry team actually start?
First screened candidates typically arrive in 2-5 business days. A single backlog-clearing batch can start within one to two weeks. An ongoing dedicated team usually takes two to four weeks to fully train on your specific data types and tools.
Should I outsource data entry or buy an automation or OCR tool instead?
It depends on how structured your source documents are. Clean, consistent forms are often a good fit for OCR software. Handwritten forms, inconsistent layouts, or judgment calls about which field something belongs in still need a trained person, which is where outsourced teams typically outperform automation alone. Many clients end up using both, automation handles the easy records and a team handles the exceptions.
What happens when my data volume spikes or drops?
We review volume and error rates at 30, 60, and 90 days and adjust headcount to match what actually happened rather than the original estimate. For current thinking on where data processing outsourcing is heading, see our data entry and data processing FAQ and 2026 trends guide.
Trusted by Leading SMBs
Companies across logistics, ecommerce, SaaS, and professional services trust Kore BPO.
“Partnering with Kore BPO cleared a two-year invoice backlog in about six weeks. Our finance team finally trusts the numbers in our own system.”
“We handed off our CRM cleanup expecting a mess. The team flagged duplicate records we didn’t even know we had and fixed our reporting.”
“Catalog entry for a 4,000-SKU launch would have taken our team months. Kore BPO had it done before our new site even went live.”
The Full Data Entry and Processing Guide Series
Ready to Clear Your Data Backlog?
Share your volume and data types. We size the right team and send screened candidates in 2-5 business days.
Get a Data Entry Staffing Quote