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Data entry outsourcing

Forms, orders, invoices, product data and CRM records entered accurately and on time by a dedicated team that works inside your systems. Every process is documented, sampled for errors every week and improved until the error rate stops being a topic.

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What is data entry outsourcing?

Data entry outsourcing means an external team enters, updates and checks information in your systems: orders, CRM records, product listings, invoices, forms and documents. Done well, it runs on written procedures, agreed turnaround times and weekly accuracy sampling. OLYMP BPO provides dedicated data entry teams from Prishtina, Kosovo, working inside the client's own software.

Typical work
Orders, CRM, catalog, invoices, forms, documents, clean-ups
Quality
Weekly sample checks, error classification and reporting
Turnaround
Service levels per process, often same business day
Systems
Your ERP, CRM, store platform, document and OCR tools

What kinds of data entry can the team handle?

Structured and semi-structured work from documents, emails, portals and spreadsheets into the systems you already use.

  • Orders and transactions

    Order entry from email, PDF or EDI exceptions, order changes, returns and credit notes, entered the same business day.

  • CRM and sales data

    Lead and contact records, activity logging after calls, deduplication and enrichment from approved sources.

  • Product and catalog data

    New product listings, attribute and price updates, image and description uploads across stores and marketplaces.

  • Documents and forms

    Application forms, contracts, delivery notes and receipts captured, indexed and filed with the right metadata.

  • Invoices and receipts

    Header and line-level capture for payables and expenses, ready for matching and approval.

  • Data cleansing and migration

    One-off clean-ups before a system change: standardising formats, removing duplicates and filling gaps.

Getting accurate data entry from an outsourced team

Most data entry problems start before the first keystroke: unclear rules, undocumented exceptions and no agreed way to measure errors. Here is how to set it up properly.

What should a data entry procedure contain?

  • The source of each field and where it goes in the target system
  • Formats: dates, names, addresses, units, currencies, codes
  • Validation rules and what to do when data is missing or contradictory
  • Examples of correct and incorrect entries
  • Turnaround time and the daily cut-off
  • Who to ask, and how, when something is unclear

How should accuracy be measured?

A simple data entry quality method
StepWhat happens
SampleA fixed share of completed items is checked every week, more in the first month
ClassifyEach error is labelled: wrong value, missing value, wrong field, format, duplicate
ReportError rate by type and by process, shared with you
Fix the causeRetraining, clearer procedure or a system validation rule

Weight errors by impact: a wrong price or bank detail matters more than a missing middle initial.

Where does automation fit?

OCR, intelligent document processing and integrations can remove much of the typing. They still produce low-confidence fields and exceptions, and someone has to check those and correct the source rules. A small team working alongside automation usually delivers better accuracy than either alone, and should keep finding steps that can be automated next.

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Which data entry work is a poor fit for outsourcing?

  • Work that needs constant judgement calls nobody has written down
  • Very small, irregular volumes that do not justify training a team
  • Data the team is not allowed to see under your contracts or regulations

How do you scale for backlogs and peaks?

A one-off backlog, such as a migration or catalog launch, can be cleared with temporary extra capacity once the procedure is proven on normal volume. Seasonal peaks are best agreed in advance so trained people are ready, rather than learning on the busiest days.

Last reviewed: . Written and reviewed by the OLYMP BPO team in Prishtina, Kosovo. About the company

Data entry outsourcing: common questions

What is data entry outsourcing?

It means an external team enters, updates and checks data in your business systems, such as orders, CRM records, product data, invoices and documents, following your written procedures. A dedicated team works only on your data and learns your exceptions over time.

How accurate is outsourced data entry?

Accuracy depends on clear procedures and checking, not only on the people. OLYMP BPO agrees a quality method before go-live: a sample of completed work is checked every week, errors are classified and the error rate is reported to you, with retraining where needed.

Can the team work with automation and OCR tools?

Yes. Where documents are read by OCR or another tool, the team checks low-confidence fields, handles exceptions and corrects errors, which usually works better than either people or automation alone.

How fast is turnaround?

Service levels are agreed per process, for example orders entered the same business day. Because the team works on Central European Time, European clients get same-day processing and US clients often find work completed by their morning.

How is our data protected?

The team works only inside your systems, with named accounts, multi-factor authentication and role-based access. No local copies or exports are kept, and personal data is covered by a data processing agreement.

Is there a minimum volume?

Dedicated teams start at five people. For smaller volumes, data entry can be combined with other back-office or support work in the same team.

Turn a data backlog into a steady, measured process

Share a sample of the work, the systems involved and the monthly volume. We will propose a team, service levels and a quality method.

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