Data Entry Services
Your business data is scattered across invoices, spreadsheets, PDFs, scanned forms, CRM exports, and product sheets, and every hour your team spends retyping it is an hour not spent on sales, service, or strategy. Manual entry under time pressure creates duplicate customer records, wrong prices on ecommerce listings, invoice fields that don’t reconcile, and CRM data nobody trusts.
Most data entry problems don’t show up on day one. They show up weeks later, when a sales rep calls a customer whose address was mistyped, when a product goes live at the wrong price, when an invoice can’t be reconciled because a vendor name was entered two different ways, or when a report comes back wrong because a spreadsheet column meant one thing to the person who built it and another thing to the person who filled it in. Fixing those problems after the fact usually costs more than getting the entry right the first time.
At DataScienceConsultingPro.com, we provide data entry services built by a data science and analytics team, so the file you get back isn’t just typed correctly, it’s structured for what you’ll actually do with it next: reporting, dashboards, ecommerce upload, or analysis.
Request a Data Entry Services Quote →
Where we focus
Rather than claim expertise in every industry, we concentrate on the areas where our analytics background gives clients a real advantage:
- Spreadsheet and database entry: Excel, CSV, Google Sheets, and database ready record building
- Ecommerce and product data entry: titles, SKUs, prices, categories, variants, and bulk upload files
- CRM data entry: contacts, leads, deal stages, and cleanup of duplicate or inconsistent records
- Survey and research data entry: coded responses, Likert scale data, and analysis ready datasets
If your project is invoice, document, insurance, mortgage, or legal document entry, tell us the field list and source format when you request a quote. We’ll confirm fit before scoping, since sensitive or specialized fields need a clearly defined process rather than a generic one.
Platforms and file types we work with
We enter and update data from PDFs, scanned images, paper forms, spreadsheets, and CRM or ecommerce exports, and deliver into whatever system or file format you need: a cloud spreadsheet, a CRM, a database ready file, or an ecommerce upload template. If your project spans both a paper backlog and a live system, for example digitizing old customer forms into an active CRM, we handle the combined workflow as one project rather than two separate handoffs.
Our process
- Scope and file review. We look at your source files, record volume, and field count before quoting.
- Field and formatting rules. We confirm column names, formats, and validation rules with you in writing, so both sides work from the same definition of “correct.”
- Pilot batch. For any project over roughly 500 records, we enter a small batch first, typically 25 to 50 records, and send it back for your sign off before running the rest. This is where most formatting disagreements get caught, before they’ve been repeated a thousand times.
- Full entry and formatting. We complete the batch in the agreed format.
- Validation. We check required fields, formatting consistency, and duplicates against the fields you specify, such as email, SKU, or invoice number.
- Delivery. You receive the finished file plus a short delivery note flagging anything unclear in the source material that needs your review.
Accuracy and quality control
Every project runs through a second pass review before delivery. One person enters the data, a second checks a sample of records against the source file and confirms required fields are complete. On our own quarterly tracked spreadsheet and CRM projects over the past year, this process has held field level accuracy at 99.5% or better on legible source documents. Handwritten or poorly scanned sources naturally carry more risk, which is exactly why we flag unclear fields rather than guess at them.
We won’t promise to perfectly recover information that isn’t legible in the source file. What we will do is tell you exactly which records we had to flag, and why, so nothing gets silently guessed at.
Security and confidentiality
- Files are used only for the scoped project and are not shared beyond the team working on it
- Where a client requires it, we sign an NDA before receiving files
- Source files and working copies are deleted from our systems within 30 days of final delivery, unless you ask us to retain them longer
- For online system access such as a CRM or ecommerce admin, we ask you to grant the minimum permission level the task needs, and to revoke access once the project closes
- Files are exchanged through an encrypted client portal or a shared drive with restricted access, not through unencrypted email attachments, and we can accommodate a client’s preferred secure transfer method on request
Example project
A mid size online retailer sent us a supplier catalogue of roughly 2,400 products in six inconsistent spreadsheet formats, some missing SKUs, others with prices formatted as text. We ran a 50 record pilot to confirm the target template, standardized product titles and categories, generated missing SKUs following the client’s existing numbering pattern, and flagged 63 products with unclear or conflicting pricing for client review before finalizing. The finished file uploaded directly into their ecommerce platform with no reformatting on their end, and the flagged items were resolved in a single follow up round.
A separate project for a program evaluation team involved entering 1,150 paper survey responses across 22 questions, including several Likert scale items and two open text fields. We coded the Likert responses to the client’s numeric scale, transcribed the open text fields verbatim, and used a shared response key to catch inconsistent coding between the two people entering data. Eleven forms had illegible or contradictory answers; those were set aside with notes rather than guessed at, and the client made the final call on each one before the dataset was closed out.
What you receive
Depending on scope, deliverables include a formatted Excel or CSV file, an updated CRM export, an ecommerce ready upload sheet, or a structured research dataset, along with a short delivery note covering record counts, any flagged or unclear entries, and formatting decisions we made where your instructions didn’t specify.
Pricing
We don’t publish a single fixed rate, because a 1,000 row spreadsheet with 8 clean fields is a very different job from 1,000 scanned invoices with 20 fields and manual validation. To give a realistic sense of range:
| Project type | Typical starting range | What drives the final price |
|---|---|---|
| Spreadsheet/CRM entry, clean digital source | $0.08 to $0.20 per record | Field count, validation rules |
| Ecommerce product data entry | $0.25 to $0.60 per SKU | Attribute count, image metadata, variants |
| Scanned document or handwritten source entry | $0.30 to $0.75 per record | Legibility, field count, review needs |
| Pilot batch, any project type | $50 to $150 flat | Used to confirm format before full production |
These are starting ranges based on typical projects, not quotes. Every project is priced after we review your actual files and field list. Minimum project fee is $75.
Why choose DataScienceConsultingPro.com
We approach data entry as a data preparation step, not just typing, which matters if the file you’re building today feeds a dashboard, a report, or an analysis next month. Every project has a single point of contact who reviews the pilot batch with you and signs off on the final delivery, so questions about a flagged record don’t get lost between people.
If you need deeper cleanup after entry, our Data Cleaning Services can deduplicate and standardize; if you want the finished data turned into reporting, Dashboard Development Services and Business Intelligence Services are natural next steps.
FAQs
Spreadsheet, database, ecommerce/product, CRM, and survey/research data are our core focus. For invoice, document, insurance, mortgage, or legal document entry, share your field list when requesting a quote and we’ll confirm fit.
Yes. We can update live systems like CRMs and e-commerce portals, digitize paper and scanned sources, or combine both in a single project.
A second reviewer checks a sample of every batch against source files before delivery, and any project over 500 records starts with a pilot batch for your sign off.
We give you a real range immediately (see the pricing table above) and confirm the exact price after reviewing your files. We don’t quote blind, and we don’t pad estimates either.
Yes. Files are used only for your project, NDAs are available on request, and source files are deleted within 30 days of delivery unless you ask us to keep them longer.
It depends on record volume, field count, and source clarity. A clean 1,000 row spreadsheet can turn around in 2 to 3 business days; a 2,000 item scanned catalogue with validation needs typically takes 1 to 2 weeks. We give you a specific timeline after the file review.
We flag those records rather than guess, and send them back to you for a decision before final delivery.
Send your files, record count, and target output format, and we’ll send back a real price range within one business day.