In today’s world, enterprises have to stay up-to-speed when it comes to data extraction and storage. The costs of growing a business and keying in data through manual entry are huge. Traditional methods of data entry do not suffice since there is a margin of human error and when a business processes large volumes of data, streamlining document processing workflows becomes difficult using human employees. The answer to all these problems is automated data extraction. In this guide, we’re going to delve into what it takes to do manual data entry and discover how automated document processing solutions help businesses.
An average typist types at the speed of 70 WPM (words per minute) and many invoices issued to businesses are done on paper. Tax receipts, building documents, accounts payables, and sales documents are forwarded to the accounts for document processing. Many businesses do not use automated processing and hire employees to convert these data into electronic formats. There are also standards to be followed which can vary from country to country, such as the European VAT Invoicing Regulations.
However, manual data entry presents its own set of challenges. Below is a list of how the costs add up for businesses by manually entering data:
A human being can manually enter data at a consistent speed for so long. It’s impossible to perform at peak productivity round the clock or maintain the average keystroke per hour without taking breaks. Employees are prone to fatigue and when you add in sick leaves or days, there are delays in document processing.
Employees are paid by the hour for doing manual data entry tasks in organizations. However, the hours add up and in the long run, it becomes expensive for businesses to maintain their upkeep
Nobody likes to revisit forms and redo their data entry work. But with manual data entry this is a reality as employees aren’t perfect at entering data. There is an element of human error and no matter how well-trained employees are, they make mistakes. Furthermore, if details in documents get updated and they’re notified later, they have to re-enter the data and start over
Assigning blank values, missing fields, discrepancies in data output, etc., all lead to delayed turnaround time. This leads to hidden charges and sometimes employees don’t know how to verify the accuracy of information being entered. Businesses can lose up to 18 million EUR a year due to mistakes made by employees in organizations and that’s a big number!
Manual data entry is used for all kinds of paper-based documents while automated data entry adds flexibility since the technology is capable of reading a variety of data formats. Mistakes inevitably happen due to the monotonous nature of manual data entry work while automated data entry makes it easy to read or organize information.
Here are the primary differences between manual and automated data entry.
In a world where data is king, enterprises and organizations around the world are increasingly relying on automated data entry solutions. Schools, universities, banks, and hospitals process a massive number of documents on a yearly basis and simply don’t have the time to manually go through huge volumes. Migrating to automated data entry solutions gives these organizations a stable footing and helps the job of data entry and document management much easier.
Here are the top benefits of using automated data entry solutions for all users-
1. Reduced paper-based storage
There is no need to host physical spaces for storing documents when companies switch to automated data entry solutions. Intelligent OCR data entry tools make it easy for organizations to sort and save their documents online. All this data is not lost due to proper file backups and these files can be easily shared with others
2. Improved accuracy and efficiency
Data capture solutions use intelligent machine learning algorithms to read and process documents. There are no human errors since these models use past data to fact-check and verify sources of information.
3. In-depth analysis
Data analytics from scanning and digitizing documents can help organizations uncover patterns in details. CEOs get insights into business workflows which in turn help improve and optimize business operations
4. Higher rates of client satisfaction
Clients are turning to businesses that use automated data capture and entry solutions because of the credibility of software. Intelligent document processing solutions like Docsumo are compliant with legal regulatory standards and trusted by clients worldwide.
5. More variety
Automated data entry takes a simple drag and drop approach where users upload a variety of documents and let APIs do their job. Users don’t have to worry about what category their documents belong to since the algorithms take care of it. They can feed APIs data entry examples for reference and the software is able to learn from sample structures.
6. Saves money
When businesses remove manual labor and focus on more productive tasks, they automatically save money. It takes hours to scour through billions of documents and organize data according to different types. Automated data extraction and entry solutions speed up the document processing workflow, thus helping businesses focus on what matters most to them.
The document AI industry is growing at a substantial rate of 70% annually. Innovative platforms like Docsumo make it easy for clients to digitize and store their documents. The best part about using automated data entry solutions is the level of confidentiality and privacy maintained by the platform. All data is kept secure, not shared, and the sole property of clients.
If you are looking to optimize and automate your document processing workflow, Docusmo can help. Sign up for a free demo with us today and enjoy customized automated data entry solutions for your business.
In today’s dynamic business world, filing and archiving official documents in the digital form makes it handy, and works wonders in the future or in unforeseen circumstances.
With an automated data extraction solution, loan documents can automatically be processed end-to-end without any human errors and delays. Automation in loan document processing prevents downtimes, eliminates data redundancy, and allows companies to respond faster to client queries. By combining machine learning with deep learning and OCR, companies can eliminate huge costs, derive actionable insights, and streamline loan processing and approvals through efficient data extraction and analysis.
Mortgage lenders receive multiple identity and income verification documents along with different forms from loan applicants in a variety of formats and styles. Traditional OCR solutions fail to extract data from these semi-structured documents and that’s why more and more lenders are adopting intelligent document processing solutions. IDP solutions not only extract data correctly, they are able to validate extracted data against predefined rules in order to improve accuracy.
Intelligent Document Processing is an automation technology that captures information from a myriad of documents and data sources, extract data, and organizes it for further processing. IDP solutions enable businesses to seamlessly integrate with core processes, eliminate manual labour, address challenges faced in reading different document layouts, and meeting legal & compliance requirements. Accurate data is the foundation of every organization, and IDP assists businesses in dealing with the complexity of processing huge volumes of documents, helping them automate manual data entry processes, and move away from traditional semi-automated OCR workflows.