Data entry is an essential operation in every organization, like any other operation. Data entry is one of the main parts of an organization that can affect activities, especially profit. Because humans are responsible for data entry, there is a high possibility of data entry errors. It is necessary to know that there is no room for data entry errors (Brammer et al., 2016). Data entry errors are too expensive, and the negative result it has on the organization makes it impossible for the organization to ignore. Most data entry errors lead to poor data quality. Erroneous decisions based upon low-quality data do not only cause inconveniences but are also extremely expensive.
The most common data entry error occurs during the data entry process. A seemingly negligible mistype can lead to long and short-term complications, leading to misinformation, inaccurate records, and disorganization. It is common in situations where humans enter data manually; even well-trained data entry clerks can make errors that can create a lot of trouble for the organization. For instance, when a data clerk mistypes or misspells information, He or she may not notice the mistake, data is then transferred into the system, and all the other information will be affected.
Another problem is human error. Clerical concerns such as data entry speed, emotional components, exhaustion, time, and distraction can negatively affect data entry. Also, clerks can misinterpret data and see one part of the information, but their minds interpret it differently. An organization should ensure that its software has descriptive information concerning the text fields (Brambilla, Cabot, & Wimmer, 2017). It will guide the data entry clerk to know where to input data. It will help to avoid confusion. Ensuring all the fields are described or labeled accordingly will reduce the significant rise of chances of error because the clerk will know which domain to input the information.