How Low-Code Platforms Implement Complex Business Processes

If a low-code development platform wants to implement complex business processes, the following conditions must be met.

1. What Is Automation?

There are two main types of automation. The difference comes mainly from AI, which is based on the benefits of the upcoming technology. For example, it generates digital data, which is the driving force of machine learning.
Automation is the key to improving efficiency, reducing human error and reducing operating costs. Repetitive work will require fewer workers, and more employees will focus on strategic decision-making and creative problem solving.

2. The 2 Types of Automation Technology

  • Robotic Process Automation (RPA)
RPA can automate repetitive and time-consuming tasks with little added value (for example, faster data entry). It can reduce costs without changing the infrastructure.
  • Business process automation (often referred to as business process management or BPM)
And BPM is the automation of end-to-end business processes (for example, more accurate decision-making). BPM is usually the strategic foundation of an organization's digital transformation.

In general, low-code automation capabilities can more prompt companies that rely on repetitive processes to evaluate how to improve efficiency. They will need to retrain and redistribute employees to assume roles that can leverage their experience and institutional knowledge with strategic capabilities.

RPA Use Cases in The Field of Healthcare

Many large healthcare organizations are adopting RPA leading to digitalization which can lead to healthy competition between medical services. The use of disruptive science and technology can make the healthcare industry more efficient. Using RPA can perfectly automate the query tasks of Electronic Health Record data, partner ecosystem, financial and accounting systems, and payment personnel letter, thereby reducing the workload of medical personnel.

In different industries, RPA is considered to be an exploratory step for enterprises and organizations to move into the world of artificial intelligence. According to the recent RPA report, increasing productivity and improving customer experience are the top priorities for organizations to adopt RPA.

RPA and Automated Testing (Test Automation)

The Relationship Between Automated Testing and RPA

Automated testing is a process of transforming a human-driven test system into machine execution. RPA is developed from automated testing, similar to automated testing, and there is a lot of overlap between the two. For example, they all drive screens, keyboards, mice, etc., and have similar technical architectures. However, RPA is different from automated testing, and there are many differences between the two:
  • Different Goals

The goal of automated testing is to shorten test execution time through automation. The goal of RPA is to reduce manual input through automation, thereby saving human resources and freeing personnel from repetitive and low-value-added work.
  • Different Technical Methods

Automated testing supports limited software environments. For example, Selenium can only support Web applications, while RPA supports multiple software environments.
  • Different Handling of Errors

Automated test scripts only need to record the error message when the operating application is abnormal, and then take a screenshot. The RPA script pays more attention to the processing of abnormal errors and performs certain processing for all possible abnormal situations in the process to ensure that it can be executed in accordance with the predetermined process. Compared with automated testing, RPA adds more checkpoints to ensure correct process execution.
  • The Frequency of Script Maintenance Is Different

Automated testing requires frequent maintenance of the script. For example, after the application under test is updated, the automated test script also needs to be updated accordingly, and the modification is relatively frequent. RPA scripts are applied to mature systems. Once the build is completed and runs stably, no modification is made as much as possible, so the modification frequency is relatively low.
  • Different Number of Applications Under Test

Automated testing mainly executes scripts for a tested application. When RPA executes a complete process, it usually spans multiple applications. For example, it is necessary to operate web applications and Windows native applications to complete the process at the same time.
  • Different Recognition Objects

In automated testing, the automation technology is mainly object recognition. Direct manipulation of elements through objects usually avoids the use of image recognition, because the script of image recognition is not easy to maintain. Because RPA has to span multiple types of applications, object recognition sometimes cannot work on all applications, and it is generally not modified after deployment, so there are more opportunities for image recognition.
  • Different Roles

Automated testing acts as a virtual helper, and RPA acts as a virtual labor force.
  • Different Requirements for Developers

Developers of automated testing need to have the knowledge required to write, create, and test scripts, while RPA is wizard-driven, and many RPA system platforms do not require developers to have programming knowledge.
  • Different Users

The users of RPA automation testing are limited to technical users, while RPA can be fully used by all stakeholders.

Misunderstandings About RPA:

1. Only Programming Skills Are Required to Use RPA Software

This is not true. To use an RPA tool, you also need to understand how it works on the front end and how to automate it.

2. RPA Software Does Not Require Human Supervision

This is an illusion, because humans need to program RPA robots to provide tasks for automation and manage them.

3. Only Large Companies Have the Ability to Deploy RPA

Small and medium-sized organizations can deploy RPA to achieve business automation. However, the initial cost will be high, but the cost can be recovered in 2 to 3 years (or less).

4. RPA Is Only Suitable for Industries That Rely Heavily on Software

RPA can be used to automate production bills, invoices, telephone services, etc. These bills, invoices, telephone services, etc. are used in various industries, regardless of their dependence on software.