RPA and DPA: Why You Need Both for Digital Transformation

RPA and DPA

Organizations increasingly turn to automation to maximize efficiency and reduce costs. Automation can be accomplished in many ways, including through robotic process automation(RPA) and Digital Process Automation (DPA). These technologies have different strengths and weaknesses, but both are necessary for a successful digital transformation strategy.

Robotic automation (RPA) can be a very effective approach to automating repetitive, high-volume tasks and following a predictable sequence. RPA can be used, for instance, to automate the contract renewal process, where numerous papers are entered into an electronic system concurrently and in a consistent manner by various persons.

The key point is that RPA works best when you have relatively few variations in your workflows or processes – emails sent out from HR systems or internal forms signed by large numbers of employees as part of their annual review process.

RPA software is designed to mimic human actions by following rules, not drawing insight or intelligence. While this can be a powerful tool for automating repetitive tasks, it falls short as a solution for higher-level decision-making.

This is where DPA comes into play. DPA software uses machine learning algorithms and artificial intelligence (AI) to draw insights from data and apply those insights to business processes. By combining RPA and DPA in your digital transformation strategy, you can achieve more than one type of automation would allow on its own.

By using both technologies together, you’ll achieve faster time-to-value from both automation tools while multiplying their capabilities through complementary strengths. This combination will help your organization succeed over the long term as it continues to grow and change with the marketplace around it.

RPA is a low-risk solution, and it scales well.

Of the two automation options, RPA provides the best value for your money and is easier to implement than DPA. Digital process automation (DPA) is an artificial intelligence technology that allows people to interact with other people, not just machines.

It provides a way for process participants to optimize their interactions and transactions with each other, regardless of the technology they’re using. In this sense, it’s more flexible than RPA because it can adapt to changing circumstances in real-time and doesn’t require pre-programming for every scenario.

DPA is best suited for unpredictable processes that involve human interaction—and those are exactly the kinds of processes your company will need as you continue your digital transformation journey.

DPA systems can adapt to changing conditions in real-time.

Digital transformation is an ongoing effort, but it doesn’t mean you must stop there. Once a digital platform is set up and running, you’re still faced with an ever-changing business environment.

Digital Process Automation (DPA) solutions can adjust to changing conditions in real time, helping you keep up with this rate of change and guaranteeing the smooth operation of your organization. They can make decisions and take actions based on the ever-changing business environment through rule sets or a combination of artificial intelligence (AI) technology and software automation.

DPA systems can also be programmed to change their behavior based on external events such as data analytics results, KPIs, or other metrics that indicate something has gone wrong within the system.

This process ensures that any issues will be resolved quickly without human intervention being required making it easier for employees across all departments to focus on other important tasks at hand instead of having them constantly monitor whether everything is working properly across multiple platforms simultaneously.

Conclusion

By applying robotic process automation and DPA together, organizations can achieve their digital transformation goals. They can benefit from the cost savings that come with RPA systems while also taking advantage of the decision-making capabilities and knowledge of DPA software. The combination effectively automates repetitive tasks while letting people make smarter decisions at each step.