6 Challenges of Manual Data Entry

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6 Challenges of Manual Data Entry There are certain challenges related to manual data entry that data entry services can help overcome successfully. Managed Outsource Solutions


In the present competitive business world, most business organizations favor a paper- less office with the help of reliable data entry services. This will increase the productivity and is also environment friendly as it reduces the use of paper. Digitization of documents can enhance the overall efficiency of the company, improve co-ordination among employees, and enhance productivity and good management. However, the digitization process has to start with data entry that involves capturing all the relevant information from catalogs, invoices, feedback forms and other such paper documents into software applications or cloud applications for data processing and use. This is fraught with challenges like the following that have to be successfully overcome. The following are the challenges.

1. Slow turnaround time Capturing data from image is faster compared to manual data entry from paper documents (roughly ranging from 10,000 to 15,000 keystrokes per hour). When the text is heavy or demands comprehensive understanding before typing, the number of keystrokes may be higher. Turnaround time is important for any business and if it keeps declining, it will affect the performance of the company.

2. Increased rate of error Manual data entry is associated with a high rate of error, mostly due to the inadequate training of employees, unreadable handwritten forms and so on. This will have an adverse effect on the internal operations of the company, customer satisfaction and external supplier relationships.

3. Increase in the volume of data Businesses always deal with large volumes of data on paper catalogs that has to be entered into their websites in time for the marketing campaign. When data entry is

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done in-house, the employees are likely to be overworked and overstressed. This will lead to more errors and poor productivity.

4. Quality of output Quality check is an integral part of manual data entry process. Businesses need to invest in additional personnel to get the correct output and also ensure that there is no double entry. The quality assurance process requires considerable time, which can be devoted to other productive purposes.

5. Ignoring other core tasks In-house data processing will prevent or delay the employees from completing their tasks on time. This will affect the growth of the organization in the long run and also set back the strategic objectives of the firm.

6. Ambiguous data Very often operators miss out on values and end up assigning meaningless substitutes, blank/default values and so on that creates confusion and inconsistency in the final output. To overcome all these challenges and enjoy streamlined data, the best option is to hire a data entry company. They ensure delivery of quality output, optimal turnaround time and scalable operations that are essential for any business.

www.managedoutsource.com

800-670-2809


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