Data entry is a fundamental activity in any company as it constitutes a large part of the back office activities. This process, nowadays, can be automated with modern technologies that avoid the repetitive activity of manual data entry.

What does data entry mean?

Data entry is the term used to describe the activity of data entry into an electronic device performed by an individual by typing on a keyboard. Wikipedia provides a more detailed definition: "In computer science Data entry, literally data entry, is the operation of entering data into a computer or generic computer system."

In most companies, this process is still done manually. In fact, an employee recopies the data on the document in question one by one. This operation causes quite a few problems for the company:

1. Time: Manual data entry takes up a lot of employee time that could instead be spent on less alienating and repetitive activities.
2. Errors: data entry activities can lead to incorrect data entry, which results in negative consequences for the company. In addition, errors caused by the human component are difficult to identify and cause additional waste of time. 
3. Costs: for many companies, one of the most significant costs is human resources. To process a large volume of documents, there are many hours spent by employees. Time, errors, resources, and volumes of data to be handled are elements that combine to make this costly activity.
4. Employee experience: as mentioned above, manual data entry is an alienating and laborious activity for the employee. The repetitiveness of this task causes considerable stress for the employee and makes the work less stimulating.

Despite all these problems, companies still do manual data entry. This is because data does not extract itself, right? Wrong, companies can use technologies that automatically extract data from documents throughArtificial Intelligence.

Solution

As anticipated, the reported problems can be easily solved through the use of technologies designed to automate data mining through Artificial Intelligence techniques.

myBiros

myBiros uses innovative Deep Learning techniques to automatically extract all data and information from a document. The document in question can be either printed or handwritten. myBiros applies to structured, semi-structured and unstructured documents.

Our technology differs from traditional OCR solutions on the market in terms of accuracy, flexibility and robustness, in fact myBiros:

1. Recognizes the text of the document from which information needs to be extracted;
2. Understands and extracts fields of interest and interprets them. 

Without the right approach and the right tools, data mining can be difficult and costly. For this reason, myBiros aims to simplify this process, guiding companies toward better productivity. Using our technology, your company will be able to:

• Cut down excess costs created by manual data entry 
• Freeing up resources so they can be allocated to valuable and less alienating activities, limiting their intervention to mere control 
• Getting around errors caused by repetitive work

Want to find out more about our solutions? Contact us and try our demo, we are waiting for you!

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