Course Outline
Introduction to BI Modernization with WrenAI
- Constraints of traditional legacy BI systems.
- Core capabilities and advantages of WrenAI.
- Drivers for modernization and anticipated business outcomes.
Evaluating Legacy BI Environments
- Conducting an inventory of current dashboards and reports.
- Identifying high-impact use cases for modernization.
- Performing a gap analysis between legacy infrastructure and WrenAI.
Developing an Adoption Strategy
- Engaging and aligning key stakeholders.
- Executing pilot projects to demonstrate value.
- Formulating a strategic roadmap for widespread adoption.
Planning the Migration Process
- Methodologies for migrating existing dashboards.
- Aligning and transforming data models.
- Maintaining operational continuity throughout the migration.
Leveraging Conversational Analytics with WrenAI
- Generating SQL queries from natural language inputs.
- Facilitating interactive data exploration.
- Crafting user-centric analytics experiences.
Implementing Embedded GenBI
- Integrating WrenAI dashboards directly into applications.
- Utilizing APIs to extend BI functionalities.
- Applying use cases for internal tools and customer-facing applications.
Managing Change for BI Modernization
- Effectively communicating change initiatives across the organization.
- Training and upskilling team members.
- Tracking and measuring adoption success.
Scaling and Future Development
- Expanding adoption across various business units.
- Establishing governance and standardization in modern BI.
- Exploring future trends in conversational and generative BI.
Conclusion and Next Steps
Requirements
- Foundational understanding of business intelligence workflows.
- Practical experience with legacy BI platforms and dashboard creation.
- Knowledge of organizational change management principles.
Target Audience
- BI Managers.
- Data Platform Product Managers.
- 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
