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Course Outline
Introduction
Understanding RPA
- Differences between RPA and traditional automation
- Automating end-to-end processes with RPA
- Impact of RPA on the workforce and employee morale
Benefits of RPA
- Faster work completion
- Continuous availability
- Accuracy and compliance
- Cost reduction
Case Study
- RPA in banking: Automating loan processing tasks
RPA Tools and Vendors
- NICE, Blue Prism, UIPath, OpenSpan, among others
Developing an RPA Strategy
- Identifying error-prone, time-consuming office tasks
- Defining the scope of the RPA initiative
- Calculating the ROI
- Impact analysis
Different Approaches to RPA
- Unattended vs. Attended Intervention
- Desktop Automation
- Desktop Analytics
Case Study
- RPA in healthcare
Overview of NICE Features and Capabilities
- Natural language processing engine
- Advanced OCR capabilities (recognition of 200 different languages)
- Advanced analytics for structured and unstructured data
Hands-on with NICE Robotic Automation
- Account setup and licensing
- Setup and configuration
Automating Routine Desktop Activities (Front-end)
- Automatic application launching
- Mouse control
- Filling out forms and templates
- Copy/pasting
Automating Routine Back-office Activities
- Performing calculations
- Processing claims
- Processing scanned documents
- Upselling products and services
Integrating NICE with Existing Systems
- CRM
- Billing systems
- Citrix applications
- Custom applications
Managing NICE
- Monitoring and managing task queues and process execution
- Generating system performance reports
Case Study
- RPA in the Insurance Sector
Scaling NICE
- Estimating resource needs and availability
- Adding robots during peak times
Troubleshooting NICE
- Debugging the system
- Restarting the robot client in case of failure
Evaluating the Results
- Assessing efficiency gains
- Assessing the human impact
Expanding NICE
- Open-source SDK
Developments in Robotic Process Automation
- Cognitive Robotic Automation
Closing Remarks
- The future of the 'virtual workforce'
Requirements
- General knowledge of business processes and office workflows.
- Some technical background.
- Understanding programming concepts is helpful but not mandatory.
Audience
- Business Analysts
- Business Process Professionals
- Engineers
21 Hours
