Course Outline
Introduction to Modernizing BI with WrenAI
- Constraints inherent in legacy BI systems
- Core capabilities and benefits of WrenAI
- Driving factors for modernization and expected business outcomes
Evaluating Legacy BI Infrastructure
- Cataloging existing dashboards and reporting assets
- Pinpointing high-value use cases for modernization
- Conducting a gap analysis between legacy setups and WrenAI capabilities
Defining the Adoption Strategy
- Engaging and aligning key stakeholders
- Establishing pilot projects to demonstrate value
- Developing a comprehensive adoption roadmap
Orchestrating the Migration
- Methodologies for migrating dashboards
- Aligning and transforming data models
- Maintaining operational continuity throughout the migration
Leveraging Conversational Analytics in WrenAI
- Generating SQL queries from natural language prompts
- Facilitating interactive data exploration
- Crafting user-centric analytics experiences
Implementing Embedded GenBI
- Integrating WrenAI dashboards directly into applications
- Utilizing APIs to expand BI functionality
- Application scenarios for internal tools and customer-facing platforms
Managing Change for BI Modernization
- Communicating the transformation vision across the organization
- Delivering training and upskilling initiatives for teams
- Tracking and measuring the success of adoption efforts
Scaling Operations and Future Trends
- Broadening adoption across various business units
- Establishing governance and standardization within the modern BI landscape
- Emerging trends in conversational and generative BI
Key Takeaways and Next Steps
Requirements
- A solid grasp of business intelligence workflows
- Professional experience with legacy BI platforms and dashboarding tools
- Working knowledge of organizational change management principles
Target Audience
- BI Managers
- Data Platform Program Managers (PMs)
- Solutions Architects
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
