Intelligent Document Processing with RPA
Being in charge of an enterprise, you need to deal with a massive volume of data processing on a daily basis. Your business thrives with these important data. And you are not alone in this. As per stats, by 2022, the total volume of the world’s enterprise data will reach 2 petabytes, which clearly states how big this industry is. But around 80% of this data is unstructured i.e., present in the email, PDF, images, and other unanalyzable formats.
As a matter of fact, this enormous amount of ever-growing unstructured data possesses a massive handling problem for all the data managers. Now the next question that comes into your mind is how can you ensure to extract the valuable data from these unstructured sources without burdening your resources? The answer here lies with Intelligent Document Processing.
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What is Intelligent Document Processing?
Both unstructured and semi-structured data are converted into easily analyzable forms with the help of Intelligent Document Processing (IDP). This automation technology has the capability to extract, capture and process these data from a wide range of data sources. With the help of AI features like deep learning, natural language processes (NLP), machine learning, and Computer Vision, IDP classifies, categorizes, and extracts useful information and validates them. To sum it up in simple words, IDP automates data processing from documents. It does that by learning about the subject of the document and the information contained in it. The same is extracted and sent to the right place. With IDP, you will not just be reducing the burden from your employees but can also enjoy lesser human errors. But in order to get the most out of IDP, you need to be combined with RPA.
What is Robotic Process Automation (RPA)?
Robotic Process Automation or RPA was predominantly used before the introduction of IDP. RPA is software designed to process huge chunks of data requiring simple yet repetitive tasks. This technology application empowers a computer software or in other words, a ‘robot’ to easily extract and illuminate existing applications for data manipulation, transaction processing, digital communications, and response trigger. In a basic sense, RPA makes the rule-based actions completely automatic. The tasks for which RPA can be used need to be simple, repetitive, bulky, and digitally performable. It works on a set of rules for automating the tasks.
"A classic example of RPA is the HR bot which updates employee records automatically across several HR tools. But still, without intelligent technology, RPA has a considerable number of setbacks to deal with."
RPA needs to be given a set of commands as standard to operate, e.g., if this happens then do that. Until all the data to which the set of rules can be applied is processed, Robotic Process Automation won’t stop working. RPA can process the data from documents having a fixed structure like passports or forms, with pre-existing templates or rules for functioning several records or with a similar or identical design. For tasks that are not rule-based, Robotic Process Automation will not be capable to extract the required insights without the support of AI.
How RPA Can Help You Out?
• Move folders and files
• Log into your applications
• Copy and paste information
• Open up attachments and emails
• Collect data from the web
• Fill out forms
• Extract structured data from documents
• Connect with APIs
• Collect social media analytics
The Future: Intelligent Document Processing with RPA
The power of smart automation is being harnessed by every industry today. As the number of enterprise data is rising up, organizations are feeling under more pressure to efficiently process the documents with zero errors and overburdening their resources. This will enable them to shift their focus to more important tasks and goals. Thanks to the modern developments of technology, Machine Learning has achieved breakthrough results in automating the entire process. Just like a human brain that can smartly identify each document, learn what it is about and judge it based on the information, computers with the help of smart applications can now do the same. Intelligent Document Processing is predominantly used by several organizations to extract the hidden data from invoices, forms, or emails quickly. It can be integrated with existing RPA systems that will enhance with more efficient document extraction, classification, and information processing from any type of document.
Benefits of Intelligent Document Processing with RPA
• Faster and cost-efficient document processing
• Zero human errors in the data processing
• Freeing-up of resources from repetitive manual tasks
• Optimized organization processes
• Easy to use
• No limitations with document type
• Complete security of data
• Smarter efficiency with IDP bots
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Ideal Use Cases
• Streamlining supply chains
• Deciphering difficult scribbles and content
• Smart information extraction
• Assembling documents and reports
• Digitizing hardcopy documents
• Managing data and documents
Are You Ready to Embrace the Future with IDP? Learn How to Begin With
If you are looking forward to implementing intelligent document processing into your business, you need to analyze your process flow and figure out the automation levels to target. The simplest way to do that is by checking the number of documents a workflow receives on a daily basis and the time required to process them manually. Along with this, you should also identify the processes which require the highest level of precision. With IDP and RPA, they can achieve the best possible results.
For best results, you can definitely consult with our professional experts. We have many service providers of IDP with RPA services in Saudi Arabia in the modern-day market. Get in touch with one of the best RPA Companies and start your journey now!!