Course Outline
Introduction to BI Modernization with WrenAI
- Limitations inherent in legacy BI systems.
- Core capabilities of WrenAI.
- Drivers for modernization and expected business outcomes.
Assessing Legacy BI Environments
- Inventorying existing dashboards and reports.
- Identifying high-value use cases.
- Conducting a gap analysis between legacy BI and WrenAI.
Adoption Strategy
- Engaging stakeholders and aligning on goals.
- Executing pilot projects to demonstrate proof of value.
- Developing a roadmap for adoption.
Migration Planning
- Approaches for migrating dashboards.
- Aligning and transforming data models.
- Ensuring operational continuity during migration.
Conversational Analytics with WrenAI
- Generating SQL queries from natural language.
- Facilitating interactive data exploration.
- Designing user-centric analytics experiences.
Embedded GenBI
- Integrating WrenAI dashboards into applications.
- Leveraging APIs to extend BI capabilities.
- Exploring use cases for internal tools and customer-facing applications.
Change Management for BI Modernization
- Communicating change across the organization.
- Training and upskilling teams.
- Measuring the success of adoption efforts.
Scaling and Future Evolution
- Expanding adoption across various business units.
- Establishing governance and standardization in modern BI.
- Emerging trends in conversational and generative BI.
Summary and Next Steps
Requirements
- Foundational knowledge of business intelligence workflows.
- Practical experience with legacy BI platforms and dashboards.
- Understanding of organizational change management principles.
Target Audience
- BI managers
- Data platform Product Managers (PMs)
- Solutions architects
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
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
Used good examples, good pace of the training and covered most things
