Best Practices of RPA Implementation

Introduction to RPA

RPA is the technology about business process automation where repetitive human mundane tasks are automated. In today’s business era, RPA eases human tasks, reduces human errors, and helps them to think about more logical complex tasks. Best practices of RPA is implemented through various RPA tools available in Uipath, Blue prism, Automation Anywhere, etc. Software automation is the new normal in today’s business environment. RPA reduces time consumption and increases the productivity of enterprises in work done.


What are the Best Practices of RPA?

Listed below are the best practices of RPA states that steps used to do the best automation, which gives the efficient solution for the RPA processes.

  • Create Process Design Documents

PDD (Process Design Document) makes the processes more transparent and better understands the business process to be automated, including flow diagram, Steps of the process, discrepancies of the process, time estimation, and all scenarios that can occur in the process, etc.

  • Use Reusable Component

There are many common processes like login and logout to the web portals, Data Scraping, Send an email and receiving emails Etc. Reuse these components to every process, saving time-consuming and making the process’s development swiftly.

  • Developed flow should be readable and not time-consuming

Using logs in the tool activities to make the developed code understood by other people quickly and developer ensured that the code should not be complicated and time-consuming. The RPA process will be worth it only if the RPA code makes the process faster.

  • Build Error Handling

An efficient flow always contains error handling that makes the process execution trouble-free and easy-going at production and saves the execution from unknown error stoppages.

  • Break Process: 

Break process flows into a small process that makes the process flow more understandable, and after flow, division integrates all the flows in the main project.


It is predicted that 90% of large organizations globally will have to adopt RPA in some form, as they look to digitally empower critical business processes through resilience and scalability.

Source: Worldwide Robotic Process Automation Software Revenue


  • RPA real-world use case Scenarios

RPA processes real-world scenarios stating where and how we use RPA technology in every organization. These examples will make you understand more about business process automation.

  •  Bookings

With the help of RPA, bookings can be automated by getting booking information and upload it to the database and confirmed bookings to the user.

  • Accounting Reconciliation

With the help of RPA, Automation of managing to account of the employees in the finance department by reconciling all the required filtered data.

  •  Managing Email requests

By identifying the user’s email request and fulfilling the user requirements, and then notify the user about the status, the Bot adheres to this process. It reduces the workload of a human resource.

  • Data Entries 

A human resource can do errors, but a software bot that is made with defined methods and functions can give low chances of errors. Data entries are the most repetitive work, but it is the most important work in every organization. RPA technology gives accuracy in data entry. It will fasten the data entry with more accuracy.


Read more about Robotic Process Automation in Human Resources Management.


What are the Challenges to adopt RPA?

The following are the Challenges listed to adopt Robotic Process Automation:

  • Team Structure : 

RPA implementation should have the proper team structure where resources are shared between teams and proper processes are defined for smooth delivery.

  • Best practices:

If the team does not follow best practices during RPA implementation, this can result in more time invested in debugging the code and making it difficult for teams to reuse the workflow.

  • Technical ambiguity: 

Sometimes bot deployment doesn’t lead to expected results due to ambiguity among the technical staff. When people fail to ask the important questions about processes during the implementation of the process, the automation deployment can be disastrous.

  • Wrong platform: 

One of RPA implementation challenges is choosing the wrong platform due to a lack of knowledge of all the processes. Most of the time, the deciding factor is the cost, resulting in companies choosing a platform that doesn’t suit business needs.

  • Insufficient support from the vendor: 

Having support from the RPA platform vendors is critical for any project’s success. They have the expertise in utilizing the tools and have worked with several customers on different RPA implementations.


Read more about The Top 5 Reasons Why RPA Projects Fails and How.


Unknown Facts about RPA

Listed below are some unknown facts about Robotic Process Automation.

  1. Require Human Intervention: Some complex RPA processes are not automated somehow, requiring human intervention with bots.
  2. Require Coding and Logical Skills: RPA processes are not coding and logical independent. It requires coding and logical abilities from the developer.
  3. RPA cannot improve an erroneous business process: RPA automates processes but does not improve any deficiency in the existing processes. Due to the exposure surrounding RPA, organizations view it as a solution to all their woes. While RPA helps streamline and update operations that are well established, it does nothing to improve a defective process. So, prior to automating, it’s better to define the business process clearly.

Summary

RPA technology leverages the automation world to an advanced level. Best practices of RPA boost up today’s business scenarios by freeing the employees to work on other innovative business processes. RPA software bots can be seen as tools for cutting down costs and improving businesses’ productivity. It repatriates jobs give tighter security with minimal IT resources.RPA produces SPA (Smart Process Automation), making business processes smarter. Integrating other technologies such as machine learning, AI, big data, and RPA organizations can promote new productivity and efficiency levels.


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