A lot of people might not know but 'Digital Process Automation' (DPA) uses low-code development tools to automate processes which can span multiple applications. Moreover, this approach focuses on automating or partially automating tasks which are involved in several business practices that typically require some form of human interaction. DPA is used in enterprise digital transformation initiatives to streamline business processes and optimize so-called 'customer journeys', since it can span many applications. Sales, marketing, management, IT and production are the business functions where DPA is used to automate and optimize workflows.
Oftentimes, DPA is referred to as the evolution of 'Business Process Management' (BPM). The main reason behind this change is the need for businesses to rapidly automate processes as part of their digital transformation journey. The result of which is that the leading businesses are now focused on digitizing their operations. They are doing so in order to become more customer-centric and responsive in both terms, which are : how they meet evolving customer demands and introduce new products in the marketplace. It is also observed that organizations that have experience with BPM should be able to easily implement DPA. If you want to achieve better accuracy in processes by eliminating situations where the documents may be displaced or process steps might be missed, then DPA is there for your rescue. Through implementation of digital process automation, organizations can have the potential to quickly launch and scale new solutions according to the needs of the marketplace. Above all, 'Digital Process Automation' tools help companies create completely automated process solutions. By the help of a right digital process automation tool, you can seamlessly build applications to manage processes and digital workflow.
It is safe to say that Digital process automation is going to shape the future of upcoming years with the advantages that come along with it. Most importantly, it reduces costs and saves time so that employees can innovate rather than spending time on manual tasks. In addition, it unites IT and the business so that their goals and actions can be completely aligned. Progressively, robust and real-time analytics are being deployed and used with digital process automation. There is no doubt that innovations with artificial intelligence (AI) and machine learning (ML) are crucial for continuous improvement which is an important factor for digital transformation and innovation.
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