By Megana Natarajan - October 05, 2020 4 Mins Read
Valuable IT employees often lose valuable time performing redundant manual tasks, and the best way to utilize their skills better is to adopt RPA for these tasks, leaving them free for more valuable inputs.
Repetitive tasks often take employees time and energy from more pressing tasks. Tasks such as form filing, database writing, collection and analysis of statistics, opening mails, etc., could be easily moved to automation. During unprecedented situations during the pandemic when resource shortage was a common problem for most enterprises, such tasks seemed to be wastage of investment for enterprises.
Organizations are on a lookout for solutions that can shorten the time required and also enhance the quality of such tasks. One such solution that was widely touted by the industry experts was Robotic Process Automation.
RPA intends to automate tasks that are often repetitive and implemented by humans using hardware and software across various applications. As per a McKinsey report, 69% of the data processing, 81% of the predictable tasks, and 64% of the data collection task can be automated without any problem. Using RPA, there can be visible savings as investments in these activities can be slashed, leaving funds free to use in higher end activities like maybe research, or other operations that need more cash flow.
Completely distinct from deep learning and cognitive intelligence, RPA only completes the tasks which do not need a high level of intelligence, the power to analyze or human knowledge. Such simple physical processes can be completed by clear programming and making RPA devices smarter using ML. While it does not implement natural language processing, context establishing, judgment, reasoning and meaning to compete the tasks, enterprises can leverage cognitive automation to help in delivering these abilities to the process as well.
Read more on How RPA will drive efficiencies in Enterprise
Unlike deep learning, RPA doesn’t use program learning like enterprise resource management or data analysis. The tech instead behaves as an assistant for completing repetitive tasks. By using RPA, enterprises can divert better skilled employees towards other tasks that need their undivided attention.
During the pandemic all sectors across all industries have been working remotely. It has highlighted the need to automate relevant operations. Digital transformation is now the need of the hour. Enterprises that were just considering it a few quarters ago are now left with no choice. Every company needs to go digital and automation as well as RPA is a big part of that change. Clearly, it will be playing a huge role in the enterprise operations going forward as well. As more and more CIOs are leaning towards digital functionalities that make them even more capable of facing the new business challenges that come with the new normal, RPA would be their trusted partner in change. With extremely wide applicability, it will make every operation smarter, sharper, more agile and cost effective. With funds crunched and businesses slow, this could be the support that all companies were looking for. It will certainly have a significant impact on the operations and funds for enterprises.
With time, RPA will be heavily adopted in the IT industry as more enterprises shift to process automation. The possibilities of RPA application in enterprises are wide, and could cover almost every process, at least partly.
Such changes will end up creating more specific skill roles and ensure that employees are more focused and productive, and consequently delivering enhanced quality in enterprise processes and customer support services. It will consequently have a significant impact on human employment data as well, streamlining it to keep the best optimization of the matrix.
Megana Natarajan is a Global News Correspondent with OnDOt Media. She has experience in content creation and has previously created content for agriculture, travel, fashion, energy and markets. She has 3.9 years’ experience as a SAP consultant and is an Engineering graduate.
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