Get in Touch
 Duration 14 hours

Course Outline

Overview of Conversational Analytics

  • Definition of conversational analytics and its significance for governmental operations
  • Core capabilities and architectural components of WrenAI
  • Standard operational workflows supported by Wren AI

Integration of Data Sources and Access Control

  • Supported data feeds and ingestion methodologies
  • Data access protocols, permission management, and multi-source data integration
  • Recommended practices for sample data sets and secure sandbox environments

Semantic Modeling and Metric Standardization

  • Establishing a metrics layer with authoritative definitions
  • Developing reusable metrics and dimensions for operational analysis
  • Version control and governance of the semantic model

Natural Language to SQL Translation Processes

  • Mechanisms for converting natural language queries into SQL and validation methods
  • Query patterns and fallback strategies for addressing operational inquiries
  • Addressing ambiguity, clarifying requirements, and defining intent structures

Self-Service Business Intelligence and Integrated Applications

  • Development of conversational dashboards and templates for operational teams
  • Incorporating Wren AI into existing workflows and internal systems
  • Assessing the adoption and impact of self-service analytics capabilities

Data Quality, Evaluation, and Security Controls

  • Testing accuracy of NL-to-SQL translations and establishing validation suites
  • Monitoring data drift, quality indicators, and query audits
  • Ensuring security, access control, and adherence to business rule guardrails

Practical Exercise: Developing an Insight Workflow

  • Hands-on laboratory: defining an operational metric, generating conversational queries, and verifying results
  • Configuring a self-service dashboard and user guidance resources
  • Presentations, feedback sessions, and development of action plans

Conclusion and Future Implementation Steps

Requirements

  • Proficiency in operational metrics and key performance indicators
  • Experience with data analysis or business intelligence tools
  • Foundational knowledge of SQL is advantageous

Target Audience

  • Program managers
  • Data analysts
  • Data champions within business units

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories