This document outlines an agenda for an RPA training session using UiPath. It discusses why RPA is needed, describing scenarios where RPA can automate tasks like fraud detection and data entry. It defines RPA as using robots or software agents to mimic human actions when performing repetitive tasks. The document lists benefits of RPA like cost savings and accuracy. It provides examples of companies using RPA and common RPA use cases in industries like healthcare and finance. Finally, it describes hands-on exercises for the training, including retrieving stock market data.
9. www.edureka.co/robotic-process-automation-trainingRPA Training using UiPath
Why RPA?
“ It will touch more than 230 million knowledge workers, nine percent of the global workforce ”
*McKinsey Research
“ It will have an economic impact of $5-7 trillion by the year 2025 ”
That’s my
job!!!
12. www.edureka.co/robotic-process-automation-trainingRPA Training using UiPath
What is RPA?
An entity which is capable of being
programmed by a computer for doing
complex tasks is known as a robot. In
terms of RPA, this task would be to mimic
the human actions.
Robotic Process Automation
19. www.edureka.co/robotic-process-automation-trainingRPA Training using UiPath
RPA Use Cases
• Patient Registration Processes
• Patient Data Migration
• Patient Data Processing
• Reporting for doctors
• Medical bill processing
• Data Validations
• Data migration between
applications
• Comparing mortgage values
across cities
• Financial claims processing
• Consolidation of client phone
systems
• Take backup information from the
client systems
• Uploading the necessary data on a
regular basis for the clients
• To automate the administrative
and customer service activities
related to:
• Receiving
• Reviewing
• Analysing
27. www.edureka.co/robotic-process-automation-trainingRPA Training using UiPath
WebDriver vs. IDE vs. RC
➢ Data Warehouse is like a relational database designed for analytical needs.
➢ It functions on the basis of OLAP (Online Analytical Processing).
➢ It is a central location where consolidated data from multiple locations (databases) are stored.