Companies still rely on manual data entry

Many companies still rely on manual data entry, which leads to numerous challenges. Today, this process can be automated using modern technologies, eliminating repetitive tasks and significantly reducing both time and costs.

Lucrezia Guidone
Lucrezia Guidone
CMO & Co-Founder

Data entry is a fundamental activity for any company, forming a significant part of back-office operations. Today, this process can be automated with modern technologies, eliminating the repetitive nature of manual data entry and boosting efficiency.

What Is Data Entry?

Data entry refers to the activity of entering data into an electronic system, typically performed by an individual typing on a keyboard. According to Wikipedia: "In computer science, data entry is the operation of entering data into a computer or a generic computer system."

In most companies, this process is still done manually. An employee often copies data from documents, entering each piece of information one by one. This approach leads to several issues for the company:

  • Time Consumption: Manual data entry takes up significant employee time, which could be better spent on less repetitive, more value-added activities.
  • Errors: Manual data entry is prone to errors, leading to incorrect data with negative consequences for the company. Furthermore, human errors are often hard to detect, resulting in additional time spent on corrections.
  • Costs: For many companies, labor costs are one of the most significant expenses. To process large volumes of documents, employees need to dedicate many hours. The combination of time, errors, labor, and data volumes makes this process costly.
  • Employee Experience: Manual data entry is tedious and repetitive, causing frustration and stress for employees, making their work less fulfilling and more alienating.

Despite all these challenges, many companies still rely on traditional manual data entry. They assume that data cannot extract itself, but this is no longer true. With advancements in Artificial Intelligence, companies can leverage technologies that automatically extract data from documents, significantly reducing the need for manual intervention.

Solution

As mentioned earlier, the challenges associated with manual data entry can be easily resolved through technologies designed to automate data extraction using Artificial Intelligence techniques.

myBiros

myBiros employs innovative Deep Learning techniques to automatically extract data and information from documents, whether printed or handwritten. MyBiros is compatible with structured, semi-structured, and unstructured documents.

Our technology stands out from traditional OCR solutions in terms of thoroughness, flexibility, and robustness. Specifically, myBiros:

  • Recognizes the text within documents from which information needs to be extracted.
  • Understands and extracts the fields of interest, interpreting their meaning.

Without the right approach and tools, data extraction can be both challenging and costly. That’s why MyBiros focuses on simplifying this process, helping companies boost productivity. By using our technology, your company can:

  • Reduce Excess Costs: Eliminate the expenses associated with manual data entry.
  • Free Up Resources: Reassign employees to more valuable, less repetitive tasks, limiting their involvement to simple oversight.
  • Overcome Mistakes Caused by repetitive manual work.

Want to learn more about our solutions? Contact us today, we’re ready to help you transform your business!

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