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Many businesses do still rely on manual methods despite the chances of data entry errors being high.
The error rate in manual data entry is around 1% while this may seem like a small percentage, as more data is churned daily, this percentage of error can grow and become detrimental to your business in the long run.
It can also become a challenge to maintain accuracy when the data to be entered is complicated or in need of a more in-depth analysis beyond the typical encoding.
Our dependency on new technology, whether at work or for leisure, is highly clear as we are currently in the digital era.
In business, it is extremely important to incorporate new digital solutions that can enhance the way we work, and this is something that we can see in some of the key procedures that we do in our operations.
Data entry is one of the core tasks we do and it is highly important to maintain accuracy as the data we use is integral to making key business decisions.
The job of data entry, as simple as it may look, can be very challenging, especially when encoders are tasked with handling large amounts of data daily.
Encoders are also usually under the pressure of ensuring that they deliver their outputs fast, and this could eventually result in inaccuracies in the data sent in.
In this article, we want to share with you the typical data entry problems that most businesses encounter and how you can ease the stress by addressing them immediately through these effective methods that can help reduce error rates than manual entry usually provides.
Transcription errors in data entry are commonly found when an encoder inputs words rather than numerical data, it can include typographical errors, repetition, deletion, and other common data entry errors found when encoding manually.
It happens when the encoder rushes to complete the task or when it is already piling up for them. Most encoders that commit this error tend not to notice when they type in the wrong key.
When an encoder tends to not notice that they have unintentionally changed the position of characters, especially in numbers, this can lead to major business errors.
A common example of this is when the encoder intends to type in 143 but ends up typing 134 because they were rushing to get more work done.
This could be detrimental, especially in the financial sense as this could lead to misinterpreted results or information that can lead to the wrong business decisions.
This is a common human error in data entry that can even occur with automated processes.
Even with the most advanced data entry automation software, it is susceptible to errors in data formatting which can lead to a confusing report that can become a misalignment.
An example of this is when you batch import a data file and the wrong data is input in the wrong column.
If not addressed immediately with a second glance, the data can be misinformed and can lead to detrimental results for your business.
This is a common data error that usually happens whenever numbers are mixed with words especially with cases like inputting codes, passwords, or even phone numbers.
A good example of this error is when the original data states it is “0” when it is the letter “O” but because of the misinterpretation, this can be interchanged.
To help reduce manual data entry error rate and avoid repeatedly re-entering it into your process, businesses rely on key strategies to help them avoid these common mistakes and increase their productivity by coming up with reliable and accurate data where they can base their decisions and other business strategies from.
Here are some ways on how your business can avoid these common data entry problems.
Typical data entry problems arise and can become one of the most expensive mistakes that a business can have.
It is important to know how to avoid data entry errors and take into consideration that most businesses these days thrive in the information that data can provide for their operations and strategies.
Invest in a suitable solution that can help you take advantage of efficient data entry for your business through data entry services or digital solutions.
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