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Duration 14 hours
Course Outline
Introduction to WrenAI Spreadsheets and the Metrics Library
- Review of core capabilities and key use cases
- Key distinctions from conventional spreadsheets
- Familiarization with pre-built metrics
Getting Started with AI-Powered Spreadsheets
- Creating and formatting spreadsheets
- Utilizing natural language for formulas and queries
- Applying AI assistance for data preparation
Utilizing the Metrics Library
- Exploring standardized KPIs across various departments
- Tailoring metrics for RevOps, finance, and marketing
- Best practices for ensuring consistency and accuracy
Data Connectivity and Real-Time Updates
- Linking spreadsheets to databases and SaaS tools
- Automating data refresh cycles
- Managing permissions and access controls
Operational Reporting Workflows
- Developing recurring reports using templates
- Monitoring cross-functional performance indicators
- Automating alerts and notifications
Visualization and Collaboration
- Generating charts and dashboards from spreadsheet data
- Real-time collaboration with team members
- Sharing reports with stakeholders
Scaling Operational Analytics
- Implementing the metrics library across multiple business units
- Standardizing reporting processes enterprise-wide
- Integrating with existing BI platforms
Advanced Features and Future Directions
- Discovering AI-driven forecasting within spreadsheets
- Customizing and expanding the metrics library
- Upcoming developments in WrenAI operational analytics
Summary and Next Steps
Requirements
- A solid grasp of operational reporting principles
- Practical experience with spreadsheet applications
- Knowledge of business metrics and KPIs
Target Audience
- Revenue Operations (RevOps) teams
- Finance Operations teams
- Marketing Operations and PMO teams