1 Introduction and Fundamentals of Task Mining
20%
- Fundamentals of Task Mining
- Task Mining vs. Process Mining
- Business challenges and value proposition
2 Planning and Deploying Task Mining Projects
25%
- Prerequisites, platform requirements and Key roles
- Project Workflow
- Use Cases and project scope
- Agent deployment and configuration
- Troubleshooting Agents
3 Data Collection, Privacy and Insights Generation
35%
- Data collection scope
- Privacy controls and compliance
- Application Categorization
- Configuring Application and privacy rules
- Dashboards
4 Identifying Automation, Continuous Improvement and Best Practices
20%
- Types of Automation and Improvement Opportunities
- Calculating Automation ROI
- Process Improvement and Standardization
- Task Mining lifecycle
- Analysis and scaling of Task mining
- Avoid common pitfalls