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Outsourcing data entry reduces costs and frees internal staff for higher-value work — but only when the vendor is the right fit. A provider that underperforms on accuracy, security, or communication creates more work than it eliminates.
These eight factors separate vendors that perform from those that create new problems.
1. Accuracy Rates and Quality Control
Accuracy is the core deliverable of data entry outsourcing. A vendor who completes work quickly but inaccurately produces output that requires correction — which eliminates the time savings and can introduce errors into downstream systems.
When evaluating a provider, ask specifically:
- What is their documented accuracy rate? (Industry benchmark is 99.9% or higher for professional data entry)
- Do they use double-keying or verification passes to catch errors?
- What quality control process runs before data is delivered to the client?
- Can they provide references from clients with similar data types and volumes?
Certifications and quality processes matter here. A provider with audited quality standards — rather than self-reported claims — gives you something to hold them to.
Related: Data Entry & Data Capture Services
2. Security and Compliance Standards
Data entry work involves handling information that is often sensitive: healthcare records, financial data, legal documents, personally identifiable information. The vendor you choose becomes a steward of that data.
Security requirements to verify:
- SOC 2 compliance — The standard for data security, availability, and confidentiality in service organizations. SOC 2 Type II certification means the controls have been audited over time, not just assessed at a point in time.
- HIPAA compliance — Required for any data entry work involving protected health information (PHI).
- GDPR and CCPA compliance — Required for data involving EU residents or California consumers, respectively.
- FERPA compliance — Required for educational records.
- Data handling procedures — How is data transferred? How is it stored? Who has access? How is it destroyed at project close?
A vendor who can’t document their compliance posture is a liability, not a cost saving.
Related: Tab Service Security & Compliance
3. Cost Structure and Total Cost of Ownership
Per-record or per-hour pricing is the starting point, not the full picture. The total cost of a data entry outsourcing engagement includes:
- Base pricing — Per record, per page, per hour, or project-based
- Setup and onboarding fees — Some vendors charge for initial configuration, template setup, or staff training on your specific data
- Revision and correction fees — If the vendor’s accuracy falls short, who pays for corrections?
- Volume pricing — Does per-unit cost decrease at higher volumes?
- Turnaround premiums — Is rush processing priced differently?
Calculate total cost across a realistic project scope, not just the headline rate. A lower per-record price with frequent correction cycles can cost more than a higher rate with consistent first-pass accuracy.
Return on investment also includes what your internal staff does with the time they get back. Data entry is one of the highest opportunity-cost activities a skilled employee can be assigned to — the hours recovered have real value.
4. Scalability
Data entry volume is rarely constant. Seasonal peaks, acquisition of new records, regulatory filing cycles, and project-based work all create volume fluctuations. A vendor who can handle your average volume but not your peak volume is a vendor you’ll be scrambling around during your busiest periods.
Evaluate:
- What is the vendor’s maximum throughput capacity?
- How much lead time do they need to scale up for a larger-than-normal project?
- Can they handle project-based work (one-time large batches) in addition to ongoing processing?
- Do they have documented processes for managing surge volume without accuracy degradation?
5. Technology and Output Formats
Data entry outsourcing increasingly involves a mix of manual keying and automated capture — OCR, ICR, OMR, and AI-assisted recognition for structured forms. The right technology mix depends on your data types.
Questions to ask:
- What capture technologies does the vendor use, and for which document types?
- What output formats do they support? (Common formats: Excel, SPSS, SAS, ASCII delimited, DBF, Mainframe/EBCDIC)
- Can they deliver directly to your CMS, database, or secure FTP?
- How do they handle handwritten fields or damaged documents where automated capture fails?
Output format matters more than it appears. Receiving clean data in a format your analysis team can’t directly import creates an additional conversion step that adds time and potential error.
6. Communication and Project Management
Data entry projects involve ongoing decisions: how to handle edge cases, what to do with ambiguous entries, when to flag a quality issue. A vendor with a clear communication structure resolves these decisions quickly. A vendor without one lets them pile up.
Look for:
- A dedicated point of contact who knows your project
- Defined escalation paths for issues that need a decision
- Regular status updates and progress reporting
- Documented turnaround time commitments
- Responsiveness — how quickly do they respond to a question or issue?
The difference between a vendor who responds the same day and one who responds within a week compounds quickly over the course of a project. For compliance-driven work with hard deadlines, same-day responsiveness is key.
7. Experience With Your Data Type and Industry
Data entry for healthcare claim forms is not the same as data entry for market research surveys, which is not the same as data entry for legal case files. The formats, validation rules, regulatory requirements, and quality standards are different.
A vendor with experience in your specific data type will:
- Recognize common errors and flag them rather than keying them through
- Understand the regulatory context around the data they’re handling
- Have validation rules already developed for your document types
- Require less ramp-up time before producing accurate output
Ask for examples of similar work — not just similar industries, but similar document types and volumes. References from organizations with comparable requirements are the most reliable signal.
8. Risk Management and Business Continuity
What happens if something goes wrong? A power outage, a system failure, a sudden spike in volume, a key staff member leaving — a professional outsourcing vendor has documented responses to each of these.
Evaluate:
- Backup and disaster recovery — How is your data protected against loss? What is the recovery time objective if systems go down?
- Service level agreements (SLAs) — Are accuracy and turnaround time commitments documented and enforceable?
- Contractual terms — What are the terms for termination, data return, and transition assistance if the relationship ends?
- Business continuity planning — Does the vendor have redundant capacity to maintain operations if a primary processing location is disrupted?
An outsourcing relationship is a dependency. Treating it as one — with documented protections — is part of responsible vendor management.
Choosing the Right Partner
The vendors who perform well on all eight of these factors tend to share a few characteristics: they’ve been doing this long enough to have encountered every edge case, they hold third-party compliance certifications rather than self-certifying, they assign dedicated account contacts rather than routing everything through a helpdesk, and they can give you specific references — not testimonials, but actual clients doing similar work who will take a call.
Tab Service Company has provided data entry and data capture services for over 65 years, with SOC 2, HIPAA, FERPA, GDPR, and CCPA compliance and a documented accuracy rate below industry error benchmarks. Contact us to discuss your specific data entry requirements.
Related: What to Look for in a BPO Partner | How Does Outsourced Data Entry Work? | Data Entry vs. Data Capture: What’s the Difference?
