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How to Reduce Cost of Going Paperless

Mobile data collection forms help to improve the accuracy of data collection process, reduce data-entry errors, and instantly aggregate the data collected. Paperless data collection eliminates the time wasted from using paper forms and streamlines your data collection processes. Data collection automation allows companies to improve productivity of field reps that immediately increases the overall efficiency of an organization.

Unlike traditional paper-based approach that is time consuming and subject to data-entry errors, mobile data collection software provides accurate and efficient data transfer directly from your workforce into your workflow. Due to mobile data collection software all the information from the field is uploaded as it is collected to corporate database, which eliminates the time wasted from using paper forms and streamlines your data collection processes.

Most of the companies opt for SaaS solutions for paperless data collection to avoid the extra costs of server hardware and IT support. Even so there are at least two things to be considered when deciding to go paperless: the cost of software itself and the cost of hardware. Here you’ll find the best ways to reduce costs of going paperless:
  • Opt for a SaaS data collection solution to avoid the extra costs of server and IT support
  • Implement BYOD allowing employees to use their own tablets and smartphones for task performance to eliminate hardware costs and save time and money on staff training
  • Choose Cloud data collection software to cut data storage costs and get the best service availability

Data collection automation software grants your field reps the ability to capture data anytime and anywhere using their own mobile devices. Besides your office managers using automated data collection system are able to process large amounts of data by pushing a single button. Data collection automation eliminates manual data entry, saving time and lowering the rate of errors, increasing efficiency and revenue.


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