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Duration 14 hours
Course Outline
Introduction to WrenAI Spreadsheets and the Metrics Library
- Overview of core capabilities and practical use cases
- Distinct advantages compared to traditional spreadsheets
- Introduction to the pre-built metrics catalog
Getting Started with AI-Powered Spreadsheets
- Creating and formatting spreadsheet structures
- Utilizing natural language for generating formulas and queries
- Applying AI assistance to simplify data preparation tasks
Utilizing the Metrics Library
- Exploring standardized KPIs applicable across various departments
- Configuring specific metrics for RevOps, finance, and marketing teams
- Implementing best practices for data consistency and accuracy
Data Connectivity and Real-Time Updates
- Connecting spreadsheets to databases and SaaS platforms
- Automating data refresh cycles for efficiency
- Managing user permissions and access controls
Operational Reporting Workflows
- Developing recurring reports using predefined templates
- Monitoring cross-functional performance indicators
- Automating system alerts and notifications
Visualization and Sharing
- Generating charts and dashboards directly from spreadsheets
- Facilitating real-time collaboration with team members
- Publishing final reports for stakeholder review
Scaling Operational Analytics
- Extending the metrics library across multiple business units
- Standardizing reporting procedures at the enterprise level
- Integrating solutions with existing BI platforms
Advanced Features and Future Developments
- Exploring AI-driven forecasting capabilities within spreadsheets
- Customizing and expanding the existing metrics library
- Overview of upcoming enhancements in WrenAI operational analytics
Summary and Next Steps
Requirements
- Knowledge of operational reporting concepts
- Experience working with spreadsheets
- Familiarity with business metrics and Key Performance Indicators (KPIs)
Target Audience
- Revenue operations (RevOps) teams
- Finance operations teams
- Marketing operations and Project Management Office (PMO) teams