Course Outline
Introduction to Conversational Analytics for Government
- Understanding conversational analytics and its significance for government product teams
- Key capabilities and high-level architecture of WrenAI
- Typical workflows enabled by WrenAI for government product teams
Connecting Data Sources and Access
- Supported data sources and ingestion patterns for government use
- Data access, permissions, and multi-source joins in a government context
- Best practices for sample datasets and sandboxing for government agencies
Semantic Modeling and Metrics Standardization
- Designing a metrics layer and canonical definitions for government analytics
- Creating reusable metrics and dimensions for product analytics in the public sector
- Versioning and governance of the semantic model to ensure compliance and accountability
Natural-Language to SQL Workflows
- How WrenAI translates natural language queries to SQL and validation strategies for government applications
- Prompting patterns and fallbacks for product questions in a government setting
- Handling ambiguity, clarifying questions, and intent design for government users
Self-Service BI and Embedded Use Cases
- Designing conversational dashboards and templates for government product teams
- Embedding WrenAI into government product workflows and internal tools
- Measuring adoption and impact of self-service analytics in a government environment
Quality, Evaluation, and Guardrails
- Testing natural language to SQL accuracy and building validation suites for government use
- Monitoring drift, data quality signals, and query audits in a government context
- Ensuring safety, access control, and business-rule guardrails for government applications
Workshop: Build a Product Insights Flow for Government
- Hands-on lab: model a product metric, create conversational queries, and validate results for government use
- Assemble a self-service dashboard and user guidance for government teams
- Presentations, feedback, and next-step action plans for government initiatives
Summary and Next Steps
Requirements
- A comprehensive understanding of product metrics and key performance indicators (KPIs)
- Practical experience with data analysis or business intelligence (BI) tools
- Fundamental knowledge of SQL is advantageous
Audience for Government
- Product managers
- Data analysts
- Data champions within business units
Testimonials (4)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
Share example of application
Course - Alteryx for Data Analysis
Very clearly articulated and explained
Harshit Arora - PwC South East Asia Consulting
Course - Alteryx for Developers
Linear regression - the algorithm to predict the trend
