How Data Entry Outsourcing Works

Nothing is cheaper today to buy than data entry services. If you are using valuable company employees to do data entry at the moment, you are making a huge mistake.

To do this right, at a fair and reasonable cost, contact DataSprint, a company that specializes in data entry and extraction. They can provide you with a quote in just a few hours for your data entry project.

So why is it such a big mistake to put company employees to do data entry? It’s simple. The cost. An employee in Britain costs upwards of 10-15 times what an employee in Eastern Europe or Asia costs. So basically when you are putting your employees to do data entry during their work schedule, you’re leaking company money by the thousands. For every hour that an employee spends typing in data, you can lose 25 dollars. This means that if a team of 3 people do data entry for a day, you’ve just lost 528 dollars. That’s the same cost as an iPhone. Not only that, but it’s also a matter of experience. People who have experience in data entry can get much better productivity and a much lower error rate, just by the fact that they have much more data entry services experience.

Then there is the problem of over-qualification. Employees which are qualified to do much more complex tasks will develop frustration from doing data entry even just for a few days. It’s a common known fact that employees who have to deal with routine tasks will be unhappy.  This can lead to employee migration. That’s why data entry is one of the first things that a company outsources. All major companies do their data entry jobs remotely from other countries such as India, Pakistan, Bangladesh. Many companies have even opened data centers there just for the data entry process.

Sometimes data entry is not needed, because the data can be automatically pulled from certain sources and converted into the format that you need. In this case, you will need to ask for a data extraction quote. Data Extraction is different from data entry, because it involves extracting the data from the source material and converting it to an importable file such as an Excel Document, CSV or SQL databse. This of course requires that your platform must accept mass importing of data. So you need to make sure that the software can handle this or else you are wasting money.  

Comments are closed.