Operational Analytics with WrenAI Spreadsheets and Metrics Library Training Course

Introduction to WrenAI Spreadsheets and the Metrics Library

• Overview of core capabilities and practical use cases
• Distinctions between these tools and traditional spreadsheets
• Introduction to the pre-built metrics catalog

Getting Started with AI-Powered Spreadsheets

• Creating and formatting spreadsheets
• Employing natural language for formulas and queries
• Applying AI support to data preparation tasks

Utilizing the Metrics Library

• Exploring standardized KPIs across different departments
• Configuring metrics specific to RevOps, finance, and marketing
• Best practices for ensuring consistency and accuracy

Data Connectivity and Real-Time Updates

• Linking spreadsheets to databases and SaaS applications
• Automating data refresh cycles
• Managing user permissions and access controls

Operational Reporting Workflows

• Developing recurring reports using templates
• Monitoring cross-functional performance indicators
• Automating alerts and notifications

Visualization and Sharing

• Generating charts and dashboards from spreadsheet data
• Collaborating with team members in real time
• Publishing reports for stakeholder review

Scaling Operational Analytics

• Implementing the metrics library across multiple business units
• Standardizing reporting processes across the enterprise
• Integrating with existing BI platforms

Advanced Features and Future Roadmap

• Exploring AI-driven forecasting within spreadsheets
• Customizing and expanding the metrics library
• Upcoming developments in WrenAI operational analytics

Summary and Next Steps