Operational Analytics with WrenAI Spreadsheets and Metrics Library Training Course

Introduction to WrenAI Spreadsheets and the Metrics Library

• Review of core capabilities and practical use cases.
• Distinguishing features compared to traditional spreadsheets.
• Introduction to the available pre-built metrics.

Starting with AI-Powered Spreadsheets

• Creating and formatting spreadsheet structures.
• Utilizing natural language to generate formulas and queries.
• Applying AI tools to assist in data preparation.

Utilizing the Metrics Library

• Exploring standardized KPIs across various departments.
• Configuring metrics specifically for RevOps, finance, and marketing.
• Best practices for maintaining consistency and accuracy.

Data Connectivity and Live Updates

• Linking spreadsheets to databases and SaaS applications.
• Setting up automated data refresh cycles.
• Managing user permissions and access controls.

Optimizing Operational Reporting Workflows

• Using templates to build recurring reports.
• Monitoring cross-functional performance indicators.
• Automating system alerts and notifications.

Visualization and Collaboration

• Generating charts and dashboards directly from spreadsheets.
• Collaborating with team members in real-time environments.
• Publishing final reports for stakeholder review.

Scaling Operational Analytics

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

Advanced Features and Future Directions

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

Summary and Next Steps