Course Outline
Introduction to Conversational Analytics
- Defining conversational analytics and its relevance to product teams.
- Core WrenAI features and high-level architectural overview.
- Common product team workflows facilitated by Wren AI.
Data Source Connection and Access Management
- Supported data sources and ingestion methodologies.
- Managing data access, permissions, and multi-source joins.
- Best practices for handling sample datasets and sandbox environments.
Semantic Modeling and Metrics Standardization
- Architecting a metrics layer with canonical definitions.
- Building reusable metrics and dimensions for product analysis.
- Versioning and governing the semantic model.
Natural Language to SQL Workflows
- How WrenAI converts NL queries into SQL, including validation tactics.
- Prompting strategies and fallback mechanisms for product questions.
- Managing ambiguity, clarifying queries, and intent design.
Self-Service BI and Embedded Applications
- Creating conversational dashboards and templates tailored for product teams.
- Integrating Wren AI into product workflows and internal tools.
- Assessing the adoption rate and impact of self-service analytics.
Quality Assurance, Evaluation, and Guardrails
- Testing NL-to-SQL precision and constructing validation suites.
- Monitoring data drift, quality signals, and query audits.
- Ensuring safety, access control, and business-rule guardrails.
Workshop: Creating a Product Insights Flow
- Practical lab: Modeling a product metric, generating conversational queries, and validating outcomes.
- Compiling a self-service dashboard along with user guidance.
- Presentations, peer feedback, and strategic action plans.
Recap and Future Directions
Requirements
- A solid grasp of product metrics and KPIs.
- Practical experience with data analysis or BI tools.
- Foundational knowledge of SQL is recommended.
Target Audience
- Product managers.
- Data analysts.
- Data champions within business units.
Testimonials (4)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
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
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises
