Course Outline
Introduction to BI Modernization with WrenAI
- Constraints of traditional legacy BI systems.
- Core capabilities offered by WrenAI.
- Drivers for modernization and associated business outcomes.
Evaluating Legacy BI Environments
- Comprehensive inventory of current dashboards and reports.
- Identification of high-value use cases.
- Gap analysis comparing legacy BI features with WrenAI capabilities.
Adoption Strategy
- Engaging and aligning key stakeholders.
- Executing pilot projects to demonstrate value.
- Constructing a strategic roadmap for full adoption.
Migration Planning
- Methods for migrating dashboards.
- Aligning and transforming data models.
- Maintaining operational continuity throughout the migration process.
Conversational Analytics with WrenAI
- Generating SQL queries from natural language inputs.
- Interactive data exploration techniques.
- Crafting user-centric analytics experiences.
Embedded GenBI
- Integrating WrenAI dashboards into application interfaces.
- Utilizing APIs to extend BI functionality.
- Applications for internal tools and customer-facing apps.
Change Management for BI Modernization
- Communicating changes effectively across the organization.
- Training and upskilling team members.
- Tracking and measuring adoption success.
Scaling and Future Evolution
- Broadening adoption across various business units.
- Implementing governance and standardization in modern BI.
- Emerging trends in conversational and generative BI.
Summary and Next Steps
Requirements
- A solid grasp of business intelligence workflows.
- Hands-on experience with legacy BI platforms and dashboard creation.
- Familiarity with core principles of organizational change management.
Target Audience
- BI Managers.
- Data Platform Product Managers (PMs).
- Solutions Architects.
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
