KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions
📰 ArXiv cs.AI
Learn how to calculate Key Value Indicators (KVIs) from service descriptions using a multi-agent workflow, enabling data-driven decision making
Action Steps
- Define relevant KVI categories using service descriptions
- Identify measurable Key Performance Indicators (KPIs) for each category
- Collect KPI values from various data sources
- Apply consistent calculation logic using a multi-agent workflow
- Configure the workflow to handle different service descriptions and KVI categories
- Test the workflow with sample data to ensure accuracy and consistency
Who Needs to Know This
Product managers, data scientists, and software engineers can benefit from this approach to streamline KVI calculation and improve stakeholder value assessment. It helps teams make informed decisions by translating operational performance into actionable insights
Key Insight
💡 Consistent calculation logic and automated workflows are crucial for accurate KVI calculation and informed decision making
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📊 Calculate Key Value Indicators (KVIs) from service descriptions with a multi-agent workflow! 🚀
Key Takeaways
Learn how to calculate Key Value Indicators (KVIs) from service descriptions using a multi-agent workflow, enabling data-driven decision making
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