Automatic Document Processing Is Here to Stay. Here's Why It Matters

Data extraction powered by artificial intelligence and machine learning is gaining mass coverage thanks to smart technologies touted to make manual data entry accurate, faster, and efficient. But before you go any further, here are the questions that need answers - Is automatic document processing practical in the everyday application? Is this technology better than existing ones?

In an independent survey of 50 business processing outsource executives, 64% expressed intent to harness artificial intelligence to increase the efficiency of data capture. The survey also indicated that a complete takeover of document processing by AI technologies is still a while away. Currently, automation in document processing is neither fully-fledged to meet client expectations, nor flexible enough to adapt to evolving market. In the future of document processing, expect to see a strong movement towards artificial intelligence, business intelligence, and machine learning.

The Future of Document Processing

The field of document processing is constantly changing and it is important to stay updated with the latest developments in the industry. 4 latest trends in document processing that will help improve performance and lower the cost are as follows -

1. Real-time Self-service Facility on Web and Mobile Devices Will Facilitate Better Coordination

   In the digital epoch, consumers prefer to obtain transactional data via self-service methods on World Wide Web or cellular devices. Customer's bias towards digital data is despite the availability of records as traditional paper-based printouts.

   Latest technologies behind automated document processing are bound to enhance the quality of service by allowing customers to access transactional data from anywhere, anytime. On the company's part, dynamic communication is all about customizing the document's appearance. Coming to manufacturing division, automatic document processing platforms will be able to provide a streamlined approach for creation of highly-interactive documents.

   Some document processing platforms are focused on users of business services by allowing the real-time creation of dynamic communications that can vary according to prevailing market conditions. Applications of automatic data processing will cover document types such as applications, bills, negotiated documents, correspondence, and statements. It is also applicable in bringing clarity into documents waiting for approval, require personalization, and even the ones facing rejection due to errors.

   The real-time self-service feature will make the process of library creation simpler and will allow focus to move towards broader areas such as the creation of the document, delivery timeline, document format, and the relevant output. Automatic document processing with workflow engines will facilitate better document management including its creation and enterprise level collaboration. Users will now be able to view and manage documents from multiple locations.

   The benefits of automatic document processing are many. In the future, expect enhanced quality and efficiency of document production and management. Also, automation will permit the fullest use of authoring tools while providing secure access to data within every document.

2. Business Intelligence and Analytics to Streamline Performance and Time-To-Market

   Automated Document Factory (ADF) is the dawn of future automatic document processing because it allows centralized management of documents by taking assembly line approach. ADF comes with business intelligence and analytics to give depth to production operations. It also provides immersive reports, and performance data to end-users. ADF provides analytics that tracks the volume of printing jobs accomplished in a day, information on error reporting and work-flow within the system. Any problems within the production system will be quickly discovered and rectified.

   ADF will also allow generating multiple views of transactional data by breaking complex transactions into small components. It boosts the efficiency and time-to-market by giving comprehensive information for enterprise publishing. With ADF, it becomes easier to manage document lifecycle with the help of business intelligence.

3. Document Lifecycle to Be Automated for Enabling High-volume Printing

   Nowadays, automatic document processing systems mesh with the content management and other collaborative systems. Archive capability can help automate document lifecycle to enhance the efficiency of the document processing. Management of document lifecycle is crucial for establishing a practical workflow pattern for enterprises.

   The most streamlined process of automatic document processing involves 4 stages -

   • Content Development
   • Client Approval
   • Production
   • Archiving for Future Reference

   The work sequence in the automatic document processing allows authoring or editing of a resource by users while it is still journeying between development and distribution stages. The role of automatic document processing is to provide key components such as library resources, resource availability information, roles, and permission to workflow. In this way, the need for additional time or expense can be eliminated.

4. Automation of Document Processing Will Centralize Control and Reduce Cost

   A centralized automatic document processing solution can impel organization's effort to contain runaway expenses and expedite the creation of information-rich communications. The complexity of application architecture increases exponentially with numerous isolated publishing engines. This will compound the problem by increasing operational costs in manifolds while making it harder for independent publishing engine to cohere with regulatory norms. Merging legacy systems with many publishing engines could remediate issues faced by business users. Most advanced automatic document processing systems use business intelligence to efficiently manage communications within document lifecycle.

   In order to consolidate and modernize IT infrastructure, it is important to set up project teams comprising of IT and business experts to develop a well-defined strategy that automates document lifecycle. A successful automatic document processing strategy involves not just processes, but the right people and technology as well.

Choose O2I and Learn How Automatic Document Processing Could Bring Value to Your Business

Outsource2india is a 19-year-old organization that has seen roller-coaster trends and requirements that change from time to time. We are one of the leading outsourcing companies where you can avail the best data entry services at a most affordable rate. With a team of high caliber data experts and innovative technology, we deliver reliable document digitalizing services from our global data centers. If you wish to have our teams to work as an extension of yours, then we are ready to fully extend our support to bring you the best values. We offer other data services such as data conversion services, data processing services, document indexing services, and more.

If you are looking for a reliable, accurate, efficient, and cost-effective data management service provider, then look no further. Get in touch with us today!