Outsource Data Entry Services

When should you outsource data entry?

If a backlog is delaying catalog updates, CRM maintenance or document processing, Acelerar can take on the entry and checking so those tasks no longer sit with your core team. The work is ready to delegate when you can supply approved source records, name the fields and check the finished output. Resolve disputed prices, addresses or account numbers before handing over those records.

Entering supplied product attributes is data entry. Restructuring a batch before import may require data processing or cleansing. If your files need that preparation, we include it as a separate part of your quote.

Which data entry tasks should you outsource first?

Start with a recurring data entry task that keeps pulling your team away from its main work. Acelerar handles the entry and checking; the examples below show what you can delegate and which business decisions stay with you.

Dedicated data entry team, project outsourcing or in-house hiring?

Choose project-based data entry outsourcing for a defined batch, such as digitizing archived forms or uploading a supplier catalog. A dedicated data entry team suits recurring work, such as weekly CRM updates or daily invoice entry. An urgent temporary backlog does not necessarily require an ongoing team.

A freelance data entry specialist can suit a small, clearly defined task when someone on your team can explain the work, check the records and arrange cover if needed. If supervising that recurring work is itself the problem, Acelerar’s managed data entry service includes team management and checking.

Dedicated staffing gives you people to assign work to; confirm who supervises them and checks their output. With Acelerar’s managed data entry service, we organize the entry work, check completed records and handle corrections within the agreed task. Your team keeps business approvals, such as price changes or invoice payments.

Keep data entry in-house when staff need physical access to original records or frequent business decisions that are difficult to document. Compare the full cost of recruitment, training, equipment and supervision with the outsourced service, alongside the hours of entry work you need.

For offshore data entry services, Acelerar provides a US-managed, India-operated team. Agree working-hour overlap and an internal contact for exceptions before starting.

How do you choose a data entry outsourcing company?

Use your own records to see whether a data entry provider can do the work you need. With Acelerar, the three-hour trial lets eligible new clients evaluate a task before choosing a plan. Include difficult records and failures from previous providers, such as incorrect fields or repeated questions.

For CRM data entry, look for experience with the work inside the system. In his testimonial, Luke Panza describes Acelerar copying information from online profiles into CRM and creating deals. If your task involves more than adding contact fields, include those steps in the sample you ask a provider to complete.

A good data entry specialist combines accurate typing with attention to detail, spreadsheet skills and clear communication. Evaluate those data entry skills using your own records: can the specialist follow field instructions, spot a missing value and ask a clear question instead of guessing? Familiarity with your system matters more than typing speed alone.

For document data entry, ask whether OCR (optical character recognition) can capture text from your scans or PDFs before the records are checked. Clear, consistent documents may suit automated capture; handwriting, changing layouts and ambiguous values can need manual entry or closer review. Test the result in your actual spreadsheet or system, including whether values land in the correct rows and fields. For CRM or product data entry, also check whether records can be imported or need individual updates in the platform.

New clients can request 3 hours of free assistance, once per company, with no card or paid-plan commitment. Accounting and bookkeeping are excluded. Agree a representative trial task with our team before starting. For a separate or more complex pilot, confirm its scope and any charge first. Use approved or masked data and track your team’s review time.

• Can you trace completed fields to the supplied source?
• Are uncertain records separated with a clear question for your team?
• Does the proposed output work in your destination system?
• Are management, quality checks and corrections included, and what changes the scope?

How should you measure outsourced data entry accuracy?

Acelerar checks your data entry under a 99.5% accuracy SLA on every project, with corrections within the agreed task included. When reviewing sample output, check the fields your business relies on most. A wrong SKU can make an otherwise complete product record unusable.

In Acelerar’s 50,000+ SKU catalog migration, the team mapped source fields before importing products in batches, then checked record counts and critical fields against the original catalog. For product data entry, check that records are complete and correctly mapped as well as checking individual values.

Check completed records separately from pending exceptions. Missing source information needs your decision; a transcription error needs an in-scope correction. Test that distinction during the sample.

What access does an outsourced data entry team need?

You can delegate data entry while keeping control of access to your systems. Give outsourced data entry staff the permissions needed for the agreed task. Someone entering a product attribute may not need permission to publish prices. Someone updating a contact may not need to export your customer database. Have your system owner approve the permissions and transfer method for the task.

Acelerar is ISO 27001 and ISO 9001:2015 certified and uses NDAs and file-transfer protocols. Before sharing production data, confirm working-copy storage and access removal with us. If your records have contractual or regulatory restrictions, your responsible internal team should approve the handling arrangements. Start evaluation with masked or otherwise approved records when live data cannot be shared.

What should a data entry outsourcing quote include?

Compare quotes for the same source records, fields, output format and quality checks. Include your time answering questions and accepting output, so you can see what the service takes off your team’s desk. Our $7/hour starting rate requires at least 80 hours per month and includes team management and quality checks.

When comparing data entry providers, an hourly quote needs an estimate of how much work the hours cover. A per-record or per-page quote needs a clear definition of the unit: a short contact record and a multi-line invoice involve different amounts of entry and checking. A fixed project quote should state the batch size, required fields and delivery date. These are ways to compare proposals; your Acelerar quote confirms the terms for your workload.

Compare accepted output and internal review time after the sample, not hourly rates alone. Ask whether document preparation, manual checking after OCR, duplicate handling and corrections are included where your task needs them. Confirm which changes would require a new quote.

How do you move data entry work to an outsourcing team?

Move from evaluating data entry support to handing over a defined task. Acelerar manages entry, checking and delivery once the sample meets your requirements, access is approved and your team has a contact for unclear records. Hold the wider handoff if the source is disputed or the output needs rebuilding.

Expand beyond the first batch after checking the output and how much review time your team still needs.

Jonathan Einav’s testimonial describes starting with one Acelerar resource for data processing and expanding to several across data and operations. He says the transition took a few months while documentation was prepared and team members were trained. For a dedicated data entry team, plan the transition around the complexity of your records and the training your task needs, as well as the first delivery date.