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Duration 14 hours
Course Outline
Introduction to WrenAI Spreadsheets and Metrics Library
- Overview of core capabilities and practical use cases
- Key distinctions from traditional spreadsheet tools
- Introduction to the pre-built metrics collection
Getting Started with AI-Powered Spreadsheets
- Creating and formatting spreadsheets
- Employing natural language for formula creation and queries
- Leveraging AI assistance for data preparation tasks
Working with the Metrics Library
- Exploring standardized KPIs across various departments
- Configuring metrics specifically for RevOps, finance, and marketing
- Best practices for ensuring consistency and accuracy
Data Connectivity and Live Updates
- Linking spreadsheets to databases and SaaS platforms
- Automating data refresh cycles
- Managing permissions and access controls
Operational Reporting Workflows
- Building recurring reports using templates
- Monitoring cross-functional performance indicators
- Automating alerts and notification systems
Visualization and Sharing
- Generating charts and dashboards directly from spreadsheets
- Collaborating with team members in real time
- Publishing reports for key stakeholders
Scaling Operational Analytics
- Deploying the metrics library across multiple business units
- Standardizing reporting processes across the enterprise
- Integrating with existing BI platforms
Advanced Features and Future Capabilities
- Exploring AI-driven forecasting features within spreadsheets
- Customizing and expanding the metrics library
- Upcoming enhancements in WrenAI operational analytics
Summary and Next Steps
Requirements
- A solid grasp of operational reporting principles
- Proficiency in using spreadsheets
- Knowledge of business metrics and KPIs
Target Audience
- Revenue operations (RevOps) teams
- Finance operations teams
- Marketing operations and PMO teams