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Course Outline

Overview of Business Intelligence Modernization via WrenAI

  • Constraints associated with legacy business intelligence architectures
  • Core functional capabilities of WrenAI
  • Strategic drivers for modernization and expected operational outcomes

Evaluation of Existing Business Intelligence Environments

  • Comprehensive inventory of current dashboards and reporting artifacts
  • Identification of high-impact use cases
  • Assessment of disparities between legacy systems and WrenAI functionality

Strategic Adoption Framework

  • Stakeholder engagement and organizational alignment
  • Implementation of pilot initiatives and validation of value
  • Development of a structured adoption roadmap

Migration Planning Procedures

  • Methodologies for dashboard migration
  • Alignment and transformation of data models
  • Maintenance of operational continuity during the transition period

Conversational Analytics via WrenAI

  • Generation of SQL queries through natural language processing
  • Interactive data exploration capabilities
  • Design of user-centric analytics interfaces for government operations

Embedded Generative Business Intelligence

  • Integration of WrenAI dashboards into existing application ecosystems
  • Utilization of APIs to extend business intelligence functionality
  • Application scenarios for internal tools and public-facing applications

Change Management for Business Intelligence Modernization

  • Organization-wide communication of modernization efforts
  • Training programs and workforce upskilling initiatives
  • Metrics for evaluating adoption success

Scaling Initiatives and Future Evolution

  • Expansion of adoption across multiple business units
  • Governance frameworks and standardization in modern business intelligence
  • Emerging trends in conversational and generative business intelligence technologies

Summary and Next Steps

Requirements

  • A comprehensive grasp of business intelligence processes
  • Prior involvement with established BI systems and reporting interfaces
  • Knowledge of organizational change management frameworks

Intended Audience

  • Business intelligence leadership
  • Data platform project managers
  • Solutions architects
 14 Hours

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