Course Outline
Introduction to Conversational Analytics
- Defining conversational analytics and exploring its significance for product teams.
- Overview of WrenAI’s core capabilities and high-level architecture.
- Examining common product team workflows facilitated by Wren AI.
Connecting Data Sources and Managing Access
- Reviewing supported data sources and ingestion patterns.
- Understanding data access, permissions, and multi-source joins.
- Applying best practices for handling sample datasets and sandbox environments.
Semantic Modeling and Metrics Standardization
- Designing a metrics layer with canonical definitions.
- Creating reusable metrics and dimensions tailored for product analytics.
- Implementing versioning and governance for the semantic model.
Natural-Language to SQL Workflows
- Exploring how WrenAI translates natural language queries into SQL and strategies for validation.
- Developing prompting patterns and fallback mechanisms for product-related questions.
- Managing ambiguity, designing clarifying questions, and refining intent.
Self-Service BI and Embedded Use Cases
- Designing conversational dashboards and templates specifically for product teams.
- Integrating Wren AI into product workflows and internal tools.
- Measuring the adoption rate and impact of self-service analytics.
Quality Assurance, Evaluation, and Guardrails
- Testing the accuracy of NL-to-SQL conversion and building validation suites.
- Monitoring data drift, quality signals, and conducting query audits.
- Establishing safety protocols, access controls, and business-rule guardrails.
Workshop: Constructing a Product Insights Flow
- Practical lab session: modelling a product metric, generating conversational queries, and validating outcomes.
- Assembling a self-service dashboard along with user guidance materials.
- Presentations, peer feedback, and planning next-step actions.
Conclusion and Future Directions
Requirements
- A solid grasp of product metrics and Key Performance Indicators (KPIs).
- Prior experience with data analysis or Business Intelligence (BI) tools.
- A basic working knowledge of SQL is advantageous.
Target Audience
- Product managers.
- Data analysts.
- Data champions operating within business units.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (3)
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
