Operational Analytics with WrenAI Spreadsheets and Metrics Library Training Course

Introduction to WrenAI Spreadsheets and the Metrics Library

• Overview of key capabilities and practical use cases
• Key distinctions between WrenAI and traditional spreadsheets
• Familiarization with pre-built metrics

Initiating Workflows with AI-Powered Spreadsheets

• Creating and formatting new spreadsheets
• Employing natural language for generating formulas and queries
• Applying AI assistance to streamline data preparation

Utilizing the Metrics Library

• Examining standardized KPIs across different departments
• Configuring metrics specifically for RevOps, finance, and marketing functions
• Best practices for maintaining consistency and accuracy

Data Integration and Real-Time Updates

• Connecting spreadsheets to databases and SaaS platforms
• Automating data refresh schedules
• Managing user permissions and access controls

Streamlining Operational Reporting Workflows

• Developing recurring reports utilizing templates
• Monitoring cross-functional performance indicators
• Automating the dispatch of alerts and notifications

Visualization and Collaboration

• Generating charts and dashboards directly from spreadsheets
• Enabling real-time collaboration with team members
• Publishing final reports for stakeholders

Expanding Operational Analytics

• Deploying the metrics library across multiple business units
• Standardizing reporting procedures across the enterprise
• Integrating with existing Business Intelligence (BI) platforms

Advanced Features and Future Developments

• Investigating AI-driven forecasting capabilities within spreadsheets
• Customizing and expanding the metrics library
• Previewing upcoming features in WrenAI operational analytics

Conclusion and Recommended Next Steps