Course Outline
Introduction to BI Modernization with WrenAI
- Challenges and limitations of legacy BI systems
- Core capabilities of WrenAI
- Drivers for modernization and anticipated business outcomes
Assessing Legacy BI Environments
- Conducting an inventory of current dashboards and reports
- Identifying high-value use cases
- Performing a gap analysis between legacy BI and WrenAI
Adoption Strategy
- Engaging stakeholders and ensuring alignment
- Launching pilot projects and demonstrating proof of value
- Developing a comprehensive adoption roadmap
Migration Planning
- Strategies for dashboard migration
- Aligning and transforming data models
- Maintaining operational continuity during the migration process
Conversational Analytics with WrenAI
- Generating SQL queries from natural language
- Facilitating interactive data exploration
- Designing user-centric analytics experiences
Embedded GenBI
- Integrating WrenAI dashboards directly into applications
- Leveraging APIs to extend BI capabilities
- Exploring use cases for internal tools and customer-facing applications
Change Management for BI Modernization
- Communicating the change effectively across the organization
- Training teams and facilitating upskilling
- Evaluating 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
- Fundamental understanding of business intelligence workflows
- Practical experience with legacy BI platforms and dashboarding tools
- Familiarity with core organizational change management principles
Target Audience
- BI Managers
- Data Platform Product Managers
- 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
