Driving Digital Transformation with RPA, ML and Workflow Automation

by February 11, 2020 0 comments

Digital Transformation

The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.

Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient. This enables them to ensure diverse systems’ interoperability with minimal manual intervention. A low-code workflow automation platform enables decision-makers to configure applications and automation solutions without the need to code.

In a Dell Technologies’ Digital Transformation Index II survey, it was found that around 78 percent of businesses surveyed consider digital transformation should be more widespread throughout their organization. Conversely, 51 percent believe they will struggle to meet changing customer demands within five years. The study further reveals barriers to progress which includes meager budget and resources, immature digital culture, and a lack of the right technologies to work at the speed of business.

 

RPA Expedites Tasks by Delivering Automation

Robotic processes automation allows businesses to measure frequently implemented manual activities that can pursue a well-defined process, augment the speed of clerical work, and lessen human error that often takes place when re-keying identical information into multiple systems.

RPA assists in creating process agility by automating tedious tasks. It is used to digitize standard interfaces, where software robots stimulate an organization’s pace by automating repetitive tasks that slow down business. Compared to a full-scale business process optimization, the technology is less expensive as it utilizes existing IT infrastructure and automates ongoing business processes.

Unlike traditional technology, RPA helps companies to move faster than ever. This process will also become smarter and more efficient if they comprehend the need to incorporate machine learning into the dynamic pair of workflow automation and RPA. Also, organizations can combine analytics and machine learning, as integrating them into a business process is key to capitalize on their value.

 

Integrating Cutting-Edge Technology for Transformation

Low-code workflow automation, RPA, and machine learning can all work independently from one another, but uniting them will become a powerful, proven solution, assisting organizations to drive digital transformation faster and more efficiently.

Experts predict that nearly 40 percent of organizations will face a slow down if they pay no attention to these technologies. Thus, the amalgamation and implementation of these technologies will help businesses to make their way into digital transformation effectively.

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