By definition, data entry automation refers to the process of optimizing data entry by eliminating or reducing manual processes via software-based solutions. Such software can usually extract data from PDF files, documents, images, emails or websites and only present the relevant information in a structured format.
The automated data entry software uses RPA and OCR, among other technologies, to cope with repetitive tasks and to “read” documents on a large scale. They are accurate, flexible, scalable, fast and save companies a lot of valuable time and resources.
The automated data collection process consists of the following steps:
Organizations receive unstructured raw data in the form of documents, images or scanned files which have to be imported into the automation software data collection system.
This important step converts documents into machine-readable formats. Advanced OCR, AI and ML functions enable algorithms to “read and understand” documents.
Data entry automation is a blessing to many individuals of a record team. Be it a highly automated sector or any other, manual processing of data has been proven to be far more persistent when it comes to managing accounts, operational costs, etc.
Automated data entry software programs remove the inefficiencies of the paperwork done by humans. Businesses are choosing to automate their data entry processes completely for reducing costs, saving time, better accuracy, increasing productivity, and even increasing business scalability.
Few advantages of adopting information access automation are listed below:
Automated information access software programs leverage AI & ML competencies to extract information correctly and minimise post-processing. Such algorithms are prepared to deal with common information constraints & remove errors.
Record keeping and data entry mostly requires hiring dedicated data entry professionals. You can easily reduce operational costs by doing away with inefficient processes done manually by leveraging OCR and Artificial intelligence.
You can save up to 75% of time spent on data entry by deploying OCR. It helps in improving and creating efficient data processing workflows by faster data entry processes.
You can equip yourself to handle any unexpected spike in data entry demand for huge volumes of data
Allocate man-hours and resources to much more productive tasks that immediately affect the bottom line.
Repetitive manual data entry processes impact workers, you can easily eliminate the need of monotonous data entry requirements and effectively engage your employees in more productive tasks.
Automation can truly advance and enhance the data analytics process, but the real question is when exactly should you deploy automation? As a basic rule, it is most appropriate for rules-based, repetitive tasks that are a part of a stable business process. However, with advancements in Artificial Intelligence, it has become possible to automate even the cognitive tasks that may not be rules-based.
Many analytical responsibilities could use automation:
When you are at a business juncture, where you think the above mentioned analytical responsibilities can be automated, that is when you must deploy data entry automation.
KlearStack Artificial Intelligence automates the acquisition of invoices and free-form expense reports, resulting in fewer corrections, lower costs, and faster payments. KlearStack provides automated invoice processing without templates, reducing the hassle of manual entry of unstructured documents. Say no to templates and regex rules!
The OCR Platform from KlearStack is an intelligent data digitization solution which is powered by AI technology, and can accurately extract data from a variety of documents.
Visit KlearStack to know more.