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Capture data at source

Data capture is the collection and storage of data from various sources. This can be done manually or through automated methods. Companies use data capturing to gather information about their customers, products, and business processes. They can then analyze the data to gain insights and make informed decisions.

The main purpose of data capturing is to be able to transform information from all sources into a format that computers can understand. The data gathered will reveal insights into how your organization is doing and how to improve through enhancing efficiency.

It may improve business operations by automating the extraction, categorization, and validation of pertinent data, allowing for quicker and more effective information retrieval.

Several technology developments, particularly cognitive technologies such as AI and ML, have increased the relevance of information capture automation.

The growth of information technology has resulted in the majority of data becoming digital, such as document files, PDFs, electronic forms, emails, videos, and so on. However, a substantial quantity of data is still created manually, such as filled paper papers, letters, and work certificates.

The two main types of data capture are manual and automated. Manual data capture involves the manual input of information from physical forms into computer systems. Automated data capture uses software tools to extract data from digital sources.

The data collection process includes:

  • Manual data capture

  • Automated data capture

  • Optical character recognition (OCR)

  • Intelligent character recognition (ICR)

  • Optimal mark reading (OMR)

  • Barcodes and QR codes

  • Digital forms

  • Intelligent document  [rpcessomg (IDP)

  • Digital signature

  • Web scraping

Advantages of automated data capture

  • Reduces operational cost

  • Improves employee satisfaction

  • Reduces errors

If you experience challenges in updating your data accurately and on a timely basis, contact us via

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