5 Things to Consider While Implementing an RPA Project

5 Things to Consider While Implementing an RPA Project
Published on

Robotic Process Automation (RPA) has garnered a lot of attention in recent years as it has the potential to revolutionize the way organizations operate, serve customers, and manage data. The technology promises to automate tedious, repetitive and manual tasks across the business, from the IT help desk to HR, leading increased productivity and cutting expenses.

Keeping this in mind, several organizations are increasingly ramping up their plans to pilot new RPA projects into their businesses, however, most enterprise leaders are seeking out best use cases to get started with RPA.

Here are the top 5 key factors to consider when coming to the planning and execution of an RPA project.

Understanding the Problem

While reviewing a proposed RPA application, enterprise leaders must understand what the real problem is that their business is trying to solve. Ask questions with themselves, for instance, what do they expect from automation? Robotic Process Automation is leveraged in many industries to automate simple to complex tasks based on the requirements of the organizations. The technology is mostly utilized in the Customer Service, Accounting, Financial Service, Healthcare, Human Resources, and, Supply Chain Management sector.

SITO Rule: Simplify, Improve, Transform, and Optimize

An RPA initiative is a greater opportunity for an enterprise to step back and look at the process for modification by putting it through the SITO (simplify, improve, transform, and optimize) rule. If an organization can simplify a process, they will have less complexity to maintain later. And by improving on the existing one, they can do all the better. Even they can transform it to include digital elements. And in the end, taking this as an opportunity to optimize processes, businesses can drive more outcomes.

Swivel Chair Process

In several organizations, business processes are still not automated. Employees essentially retort to alerts from one system, then take some of the data and take action in another system. In other words, the human workforce swivel between one system to another to perform the complex tasks of manually mining information from one application and then verifying it and pasting it in another application. This is where RPA comes into the scenario. It can be easily deployed on any legacy system, carrying out the complex, mundane and repetitive tasks within fractions of seconds, and freeing humans from swivel chair slowdown.

Target the Quantifiable Tasks First

RPA is an essential asset in organizations that have complex systems that interact together. And today everyone is in a hurry to adopt this technology to simplify their business process. But gaining effective outcomes, an organization should be smart to first recognize the standard, stable, and most repeatable processes as their first candidates, and leave the complex ones for later. Because even if slow, initial adoption will build up confidence and trust in RPA technology.

Employee Onboarding

A strong employee onboarding process appears in a much result-oriented organization. It assists employees to get to know the necessary knowledge, skills, and behavior, and learn how to communicate effectively. Many experts acknowledge human resources as a universal business function, alongside finance. The employee onboarding process is typically comprising a very defined process, which requires a structured set of information that must be entered into disparate systems, and documents that must be scanned.

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

                                                                                                       _____________                                             

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net