Why in-house data cleaning is a costly mistake—and the smart alternative

A data migration or large cleanup operation rarely gets stuck on the technology. The software usually works fine. Where it does often go wrong? The man-hours.

Management then often faces a difficult choice. do you put your expensive internal specialists to work on simple typing tasks? Or do you quickly bring in some temp workers, with all the associated risks of errors?

Many companies struggle with this. But there is a third way. A way that ensures speed and security, without paying top dollar.

The hidden costs of in-house data entry: Is ‘free’ really free?

“We’ll just do it ourselves.”

It’s a phrase often heard in management meetings. It sounds logical. You already have the people on the payroll. Their salaries are paid anyway. So if they just pick up some data cleaning project tasks, it won’t cost anything extra.

Right?

Well, no. That is actually one of the most expensive mistakes you can make. It seems free, but the true costs are hidden beneath the surface. Let’s take a look at what really happens when your team ‘just pitches in’.

The price of ‘Opportunity Cost’

Suppose you have an experienced controller or a logistics planner on staff. Let’s say this person costs the employer €60 or €70 per hour.

If this specialist spends a week manually retyping lists or checking for duplicate customer data, you are paying €70 per hour for work that is actually worth a fraction of that. That is a waste of money.

But the real problem is the ‘opportunity cost’. That is the value of the work that is not being done.

• While your controller is cutting and pasting, he isn’t making financial analyses that could save the company money.
• While your IT specialist is entering data, she isn’t resolving critical bugs.

You are not only paying too much for the typing work, you are also missing out on the profit your experts normally generate. That adds up fast.

The risk of ‘Bore-out’

There is another cost item that is often forgotten: motivation.

You hired your people to use their brains. To solve complex problems. If you force those same people to do repetitive, boring work for days on end, something happens to their morale.

They get frustrated. Their energy drains away. In the worst-case scenario, they start looking around for another job where they are challenged. In a tight labor market, you cannot afford to drive away good staff with ‘dumb’ work. Replacing a departing employee is many times more expensive than outsourcing a project.

The pitfall of the temp agency

“Okay,” you might think. “Then we’ll hire some students via a temp agency. They’re cheap.”

On paper, that looks smart. But in practice, that operational overhead is often disappointing.

1. Onboarding time: You have to explain the intention again and again. Students often work part-time or quit after a few weeks. You keep having to give instructions.
2. Quality: A student usually has no connection with your company. A typo is easily made. And who has to remove those errors later? Exactly, your expensive internal specialist.
3. Security: Do you really want temporary staff to have access to your sensitive customer data? Often the control and discipline required for GDPR-compliant working is missing.

Ultimately, with the ‘cheap’ temp agency, you still end up spending a lot of time on management and corrections.

Doing it yourself is often penny wise, pound foolish. But what is the alternative if you are looking for flexibility, but don’t want to pay top dollar?

Project-based nearshoring vs. structural BPO: What is the difference?

When hearing the word ‘outsourcing’, many people immediately think of job losses. That is an understandable fear. You envision entire departments being shut down and work disappearing to another continent forever.

But that is far from the whole story.

There is a big difference between structurally relocating business processes (classic BPO) and engaging project-based back-office support.

No replacement, but reinforcement

With project-based nearshoring, it’s not about replacing your current team. It’s about creating ‘burst capacity’. In other words: extra power exactly when you need it.

Think of situations such as:

• The transition to a new ERP system where thousands of article numbers need to be checked.
• Clearing years of backlog in customer files.
• A sudden spike in orders or registrations that your own team can no longer handle.
• One-off digitization of physical archives.

In these cases, you don’t need permanent new employees. You need a temporary, flexible administrative layer that you can switch on and off when it suits you.

Scalability without HR headaches

Suppose you need five extra people temporarily for a large data migration support project. If you have to recruit them yourself, you’ll be busy with job interviews for weeks (if not months). Is the project finished? Then you’re stuck with contracts and dismissal procedures.

That causes delays and consumes energy.

With project-based nearshoring, it works differently. Do you need 10 people next week to enrich data? Consider it done. Is the job finished after two months? Then you scale back down to zero. You only pay for what you use and your own HR department doesn’t have to put pen to paper.

Datamondial vs. the lumbering giants

Many traditional outsourcing parties are not waiting for these kinds of projects. They want contracts of at least three or five years.

Datamondial works differently. We understand that business is sometimes erratic. That is why we focus specifically on that project-based approach. See us as the ‘troops’ that fly in to put out the fire or catch up on the backlog, so that your own team can remain focused on their core tasks.

This way, the knowledge stays in-house, but the ‘grunt work’ gets done on time.

Why Romania is the logical choice for Dutch data projects

When we talk about outsourcing work, many people immediately think of Asia. India or the Philippines, for example. That makes sense, because hourly wages are often the lowest there.

But for Dutch companies that take their data seriously, Asia is often not an option. Certainly not when it comes to privacy-sensitive corrections or complex migrations.

The alternative? Look closer to home. Nearshoring to Eastern Europe, and specifically Romania, has become enormously popular in recent years. And that is not just because of the costs. There are three weighty reasons why this is often smarter than outsourcing far away.

1. Your data stays safely within EU walls

This is perhaps the most important point: the law. As soon as you send personal data (such as addresses or customer names) outside the European Union, you end up in legal quicksand.

The rules regarding the GDPR (or AVG) are strict. In countries like India, different laws apply. You then have to work with complicated model contracts to prove that the data is safe.

Romania is simply a member of the EU. That means:

• The same strict privacy legislation as in the Netherlands.
• No legal tug-of-war over data transfers.
• Guaranteed GDPR-compliant working without hassle.

Simply put: your data does not leave the safe zone. That allows you to sleep a lot sounder.

2. No time difference, no delay

Have you ever worked with a team in Asia? Then you know the frustration. You send an email with a question in the afternoon and you only get an answer the next morning because they were already asleep.

With a tight deadline for a data migration, you cannot afford that delay.

In Romania, it is only one hour ahead of the Netherlands.

• Real-time consultation: You hop on a call via Teams and have a colleague on the line immediately.
• Fast switching: Do you see a mistake in the output? Then it is solved within an hour, not the next day.
• Workday rhythm: The teams work during normal office hours, just like your own staff.

Because of this, it doesn’t feel like you are working with an external party on the other side of the world, but rather like a department sitting just down the hall.

3. The ‘Cultural Click’

It may sound vague, but culture is crucial for quality. In some cultures, it is impolite to say ‘no’ or to ask questions of a client. The result? People execute an assignment exactly as described, even if they see there is a mistake in it.

The work culture in Romania is very similar to ours. Employees are generally highly educated, speak good English (and sometimes German), and dare to think along with you.

Moreover, Datamondial works with fully Dutch management on-site. That builds a bridge. So you have the benefits of lower costs, but with the Dutch quality standard and directness you are used to.

The man-machine synergy: How is 99% accuracy achieved?

When outsourcing data entry, many people still think of a large hall full of typists rattling away on keyboards all day.

That image has long been outdated.

Nowadays, the process is a smart mix of technology and human insight. We call this man-machine collaboration. Or in fancy terms: Human-in-the-loop.

It is the only way to combine speed with a margin of error of almost zero. Because let’s be honest: software is fast, but humans understand context.

Robots for the heavy lifting

It often starts with smart software. Think of OCR (that technique that reads text from an image) and RPA bots. They can scan thousands of forms at lightning speed and put the data in the right boxes.

• They don’t sleep.
• They work 24/7.
• They don’t make typos due to fatigue.

For standard texts and clear PDF files, this works fantastically. But software gets stuck as soon as it gets complicated. A coffee stain on a receipt? A handwritten scribble in the margin? A computer gets confused by that.

And that is exactly where things often go wrong with fully automated systems. You then get the infamous ‘garbage in, garbage out’.

The human as expert referee

To achieve that 99% accuracy, our specialists watch along. They act as referees for the doubtful cases.

The software indicates: “I am only 70% sure that this says ‘Breda’.” An employee looks at it, sees the context, and approves or corrects it.

This is why outsourcing data entry to a specialized party often yields better results than doing it yourself. Your own employees get tired and overlook errors after three hours. Our teams work in shifts and use tools specifically built to spot deviations immediately. That guarantees the data quality you need for serious analyses.

Example from practice: Waybills and ‘Legacy’ mess

Suppose you have thousands of old waybills. Partly typed, partly filled in with a pen by a hurried driver.

A scanner turns it into soup. But a trained eye sees immediately what is written there. Our teams are used to processing freight rates and deciphering codes that are abracadabra to a layperson.

Also with legacy systems—those old software packages that you actually should have replaced years ago—this approach is worth its weight in gold. The robot retrieves the data, the human filters out the nonsense, and you get a clean dataset back that can go straight into your new system.

This way you get the best of both worlds: the speed of a machine and the common sense of a human.

Decision Model: When should you outsource data entry?

Are you still in doubt after reading all this? We understand that. It always feels a bit like letting go of control. But in practice, we often notice that you actually get more control back when you hand over the work. Simply because it actually gets done.

It’s not guesswork. You can determine fairly simply which route is the smartest for your situation. We have listed the most important considerations for you.

The Check: Do it yourself or Nearshore?

Not every project is suitable for outsourcing. Sometimes you just have to do it yourself. Use this table as a cheat sheet:

Do you see the pattern? As soon as it concerns bulk work, repetitive tasks, or tight deadlines, the external party almost always wins on cost and speed.

5 signals that your project is stalling internally

Sometimes you think it’s going fine internally, but the facts tell a different story. Do you recognize more than two of the following signals? Then the alarm bells should start ringing.

1. The ‘yes-but’ phase: Your IT department postpones the go-live of new software because the ‘data isn’t clean enough yet’.
2. Grumbling team: You hear your specialists complain about ‘chores’ or boring typing work. Watch out, because before you know it, they’ll be looking for another job.
3. Cost explosion: The bills for overtime are starting to run up considerably, and the project isn’t even halfway done.
4. No overview: If someone asks: “How far along are we?”, no one can name an exact percentage.
5. Errors piling up: You are encountering duplicate addresses or wrong codes more and more often because people’s heads aren’t in the game anymore.

Stop gambling, start finishing

The bottom line is a business choice. Do you have a mountain of work lying around that your own team actually has no time (or desire) for? And do you want to be sure that it happens GDPR-compliant and according to ISO 27001 standards?

Then that flexible layer in Romania is often the smartest move. You keep your own people happy, your costs low, and you do meet your deadline.

Curious about the price tag for your project? Or do you want to know if we can still meet your deadline?

Request a Quick-Scan. Within 24 hours you will know exactly where you stand regarding turnaround time and costs per record. No hassle, just clarity.