Data capturing is the method of putting a document into an electronic format. Many organizations implement to automatically identify and classify information and make the information available within particular systems. It takes documents content, in any format, and converts it into something that a computer can contrive. There have 2 methods to capture the data which are by manually or automated. Manual data entry from handwriting is very time consuming and prone to many errors when there is bulk amount of data is involved. Now day’s organizations prefer using an automated data captured to convert text or handwriting from printed page into computer readable character. The method typically considered as part of data capturing include OCR, OMR, ICR, bar codes, QR codes and magnetic stripes. Automated data capturing is rapidly becoming an integral and necessary system in any organization. The system not only saves the time but also increase the speed and accuracy over manually entered data. This paper discussed the introduction of data capturing, methods, software, advantages and disadvantages and issues in data capture.
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In-Text Citation: (Hamzah, Yatin, Ismail, & Ghazali, 2018)
To Cite this Article: Hamzah, A. A., Yatin, S. F. M., Ismail, N. A., & Ghazali, S. F. (2018). Data Capturing: Methods, Issues and Concern. International Journal of Academic Research in Business and Social Sciences, 8(9), 617–629.
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