RPA is a technology that uses software robots or process mining to automate repetitive, rule-based rudimentary tasks. This can improve productivity by freeing up human workers from mundane and error-prone activities, and allowing them to focus on more creative, strategic, and value-added tasks. RPA can also increase accuracy, speed, scalability, economics and compliance of business processes.
It helps in overcoming the productivity paradox, which is the phenomenon of declining productivity growth despite increasing investment in technology in Shared Service Centers and BPOs. RPA can do this by streamlining workflows, integrating disparate systems, and reducing complexity and waste. RPA can also provide faster return on investment and lower costs than traditional IT solutions².
Some typical examples of RPA applications are:
- Data entry and validation
- Invoice processing and reconciliation
- Customer service and support
- Report generation and analysis
- Email and chatbot automation
- Web scraping and data extraction
It requires careful planning, design, implementation, and maintenance to ensure optimal results. There are some limitations, such as:
- It cannot handle complex or unstructured data
- Socio-cultural understanding
- It cannot perform tasks that require human judgment, creativity, or empathy
- It may face ethical, legal, or security challenges
- It may encounter technical issues or compatibility problems
RPA should be seen as complementary rather than a replacement for human workers. It can only augment human capabilities and enhance productivity, but it cannot replace the human touch and intelligence that are essential for business success.
to be continued with RPA implementation must know points....
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