Course Outline

Introduction

Understanding RPA

  • Difference between RPA and traditional automation
  • Automating end-to-end processes with RPA
  • Consequences of RPA on workforce and employee morale

Benefits of RPA

  • Acceleration of work completion
  • Continuous availability
  • Accuracy and compliance
  • Cost reduction

Cases study

  • RPA in banking: Automating loan processing tasks

RPA Tools and Vendors

  • NICE, Blue Prism, UIPath, OpenSpan, etc.

Developing an RPA strategy

  • Locating the most error-prone, time consuming office tasks
  • Defining the scope of 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 of structured and unstructured data

Hands-on with NICE Robotic Automation

  • Account set up and licensing
  • Setup and configuration

Automating Routine Desktop Activities (Front-end)

  • Launching applications automatically
  • Controlling the mouse
  • Filling out forms and templates
  • Copy/pasting

Automating Routine Back-office Activities

  • Performing Calculations
  • Processing a claim
  • Processing scanned documents
  • Upselling products and services

Integrating NICE with Existing Systems

  • CRM
  • Billing system
  • Citrix applications
  • Custom applications

Managing NICE

  • Monitoring and managing task queues and process execution
  • Generating reports on system performance

Case study

  • RPA in the Insurance Sector

Scaling NICE

  • Estimating resource needs availability
  • Adding robots during peak times

Troubleshooting NICE

  • Debugging the system
  • Restarting the robot client in the event 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 understanding of business processes and office workflows.
  • Some technical background.
  • An understanding programming concepts is helpful but not necessary.

Audience

  • Business Analysts
  • Business Process Professionals
  • Engineers
 21 Hours

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