I have Dibakar Paul with us to share his RPA journey…
It’s my pleasure to have him here and would like to thank him for sharing his thoughts 🙂
Here is a short Bio:
He is a B.Tech (Information Technology) graduate with 5+ years of industry experience.
Currently working as Assistant Manager for Hi-Tech Manufacturing – Analytics services in Genpact where his role involves designing automation solutions & BOT development for business processes.
He has a demonstrated history of working in Infrastructure Services, Robotics Process Automation (RPA) development, scalability, strategy & implementation and have expertise on cloud deployments & infrastructure build for Robotic Service Orchestration(RSO).
Proficient in business process analysis for automaton feasibility, opportunity assessment, process optimization with automation solution & benefits analysis. Keen aspirant for learning more & working on new Gen technologies like AI & ML for digital transformation.
- Love to travel, listening music and reading blogs.
- Socializing and attending events to build up network.
- Explore & Learn new technologies.
We would like to know about your RPA journey?
My RPA journey started back in 2017. Trust me before that I wasn’t even aware of the term RPA. It is indeed very astonishing how in a short span of time RPA has boomed so much and got majority of the enterprise attention globally as the paramount option for automation for the digital transformation journey.
I started my automation journey with the tool called Win Automation creating BOTs for small scale desktop automation running locally in user’s system which started capturing interest for business users to automate the mundane tasks and they started to share more advanced use cases for automation. Eventually I moved to UiPath platform for scaling up the RPA with cloud deployments and running BOTs on server level to get rid of desktop automation.
Since then it’s has been a fascinating journey in RPA and I have managed to work in various projects creating dynamic automation solution to optimize business process execution, decrease AHT (Average Handling Time) of completing tasks & perform automation benefits analysis. I am currently involved in working across various domains like Manufacturing, Healthcare etc. for implementing RPA solutions.
How to choose a successful pilot project?
Well for piloting any RPA project, we should first start with proper opportunity assessment of all the automation projects or ideas that are in the pipeline. We should select processes for RPA implementation which fulfill the basic 4 thumb rules:
- Rule based process.
- Digitally triggered process supported by digital data.
- Functioning & Stable process.
- High Volume.
Once the process has been selected based on the mentioned criteria, the generic approach would be to build a Proof of Concept (POC) for that process using the desired RPA tool. The core objective for POC is to implement RPA in a controlled environment covering the crucial part of the process being performed by the BOT. Based on the BOT performance, outcome & analysis we can evaluate what percentage of the process can be automated. We then need to collaborate with the business users to share the solution & get potential feedback.
Based on the successful completion of POC & positive feedback from business, we can plan for the complete BOT development of that particular business process.
What is the biggest mistake that we end up doing while adopting RPA?
The biggest challenge that is predominantly faced across the enterprise while adopting RPA would be the change in cultural resistance and mindset of the people. Since a BOT would eventually enact and mimic the human action to complete the process activities in a much faster & efficient way, it’s obvious that the pursuit of automation or creation of BOTs creates a sense of fear for job loss across various levels of the organization.
So business users should be educated with adequate benefits of adopting RPA and automating the manual or mundane tasks so that they collaborate better for successful implementation of RPA projects & thereby prefer & learn new gen digital technologies to upskill & solve business problems.
One more flaw that usually happens in adopting RPA is the type of project being selected for automation. So every process should be evaluated or assessed based on certain aspects like:
- Factors driving automation potentiality
- Business benefits or ROI (Return on Investment)
- Strategic Opportunity Assessment
- Technical feasibility study of the process with various applications involved in it.
- Evaluation of process as per the RPA Implementation Strategy:
What would be your advice for young developers trying for an RPA developer job?
The advice would be to upskill and learn any of the trending RPA tool. Business solutions in RPA are mostly no longer platform or programming language dependent. As we can integrate most of the programming language for various solutions in RPA, it’s better to also learn any programming language eg. Python (especially for Developers & Solution Architects).
Alongside being technically sound, I believe one also needs to be functionally strong to proficiently work in RPA domain as most of the work is related to functional or business processes.So companies prefer someone who is “Techno-Functional”- one who is able to evaluate/assess a business process, perform feasibility check, design the solution and eventually develop BOTs.
BOT implementation or deployments expertise for managing Robotic Service Orchestration (RSO) can be an added advantage to perform Cloud Deployments & RPA Infrastructure Build for high scalability.
We would like to hear about the future of RPA from you…
According to Gartner Inc. Robotic Process Automation (RPA) software revenue grew 63.1% in 2018 to $846 million, making it the fastest-growing segment of the global enterprise software market. In 2019, the RPA software revenue has reached $1.3 billion.
As per Forrester, RPA market will reach $2.9B by 2021.
All these stats depicts that in the coming days RPA is going to be more widely adopted across enterprises in different domains like BFSI (Banking, Financial services & Insurance), Manufacturing, Retail, Analytics & Aviation.The adoption of RPA to further increase exponentially for every type of computer-aided process that uses rule based protocols. Integration of the new Gen technologies like- AI, ML, Cognitive systems & Deep Learning etc. with the RPA tools would eventually make complex, decision or judgment based process automation more effective, robust and highly scalable.
You can connect with Dibakar Paul, he is always happy to help 🙂
Click here to connect with him on LinkedIn
I hope you enjoyed the post!!!
And if you think you or your management has some thoughts on RPA that you would like to share with the hundreds and thousands of people out there and be helpful…
Let’s have a small talk 🙂
Connect with me on LinkedIn or you can email me at email@example.com