Course Outline
Introduction to Conversational Analytics for Government
- Overview of conversational analytics and its significance for product teams in government operations
- Key capabilities and high-level architecture of WrenAI for government use
- Typical workflows enabled by WrenAI for government product teams
Connecting Data Sources and Access for Government
- Supported data sources and ingestion patterns for government systems
- Data access, permissions, and multi-source joins in a government context
- Best practices for sample datasets and sandboxing for government use
Semantic Modeling and Metrics Standardization for Government
- Designing a metrics layer with canonical definitions for government analytics
- Creating reusable metrics and dimensions for product analytics in government
- Versioning and governance of the semantic model for government operations
Natural-Language to SQL Workflows for Government
- How WrenAI translates natural language queries to SQL, with validation strategies tailored for government use
- Prompting patterns and fallbacks for product questions in a government context
- Handling ambiguity, clarifying questions, and intent design for government applications
Self-Service BI and Embedded Use Cases for Government
- Designing conversational dashboards and templates for product teams in government
- Embedding WrenAI into product workflows and internal tools for government agencies
- Measuring adoption and impact of self-service analytics in government operations
Quality, Evaluation, and Guardrails for Government
- Testing natural language to SQL accuracy and building validation suites for government systems
- Monitoring drift, data quality signals, and query audits in a government context
- Ensuring safety, access control, and business-rule guardrails for government use
Workshop: Build a Product Insights Flow for Government
- Hands-on lab: model a product metric, create conversational queries, and validate results for government applications
- Assemble a self-service dashboard and user guidance for government use
- Presentations, feedback, and next-step action plans for government implementation
Summary and Next Steps for Government
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 (2)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
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!
