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Duration 14 hours
Course Outline
Introduction to WrenAI Spreadsheets and the Metrics Library
- Overview of core capabilities and applicable use cases
- Key distinctions from conventional spreadsheet tools
- Familiarization with pre-existing metrics
Getting Started with AI-Enhanced Spreadsheets
- Creating and styling spreadsheet layouts
- Utilizing natural language to generate formulas and queries
- Applying AI support for data preparation tasks
Utilizing the Metrics Library
- Reviewing standardized KPIs across various departments
- Configuring metrics for RevOps, finance, and marketing functions
- Best practices for maintaining consistency and accuracy
Data Integration and Real-Time Updates
- Linking spreadsheets to databases and SaaS applications
- Streamlining data refresh intervals through automation
- Overseeing permissions and access controls
Operational Reporting Workflows
- Generating recurring reports using templates
- Monitoring cross-departmental performance indicators
- Automating alerts and notification systems
Data Visualization and Distribution
- Building charts and dashboards directly from spreadsheets
- Enabling real-time collaboration with team members
- Sharing finalized reports with stakeholders
Scaling Operational Analytics
- Implementing the metrics library across multiple business units
- Standardizing reporting procedures across the enterprise
- Integrating with current Business Intelligence (BI) platforms
Advanced Capabilities and Future Developments
- Investigating AI-based forecasting within spreadsheets
- Customizing and expanding the metrics library
- Previewing upcoming features in WrenAI operational analytics
Recap and Future Actions
Requirements
- Basic understanding 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 Project Management Office (PMO) teams