Course Outline
Introduction to BI Modernization with WrenAI
- Constraints of legacy BI systems.
- Core capabilities of WrenAI.
- Drivers of modernization and expected business outcomes.
Assessing Legacy BI Environments
- Cataloguing existing dashboards and reports.
- Identifying high-value use cases.
- Conducting gap analysis between legacy BI and WrenAI.
Adoption Strategy
- Engaging and aligning stakeholders.
- Initiating 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 migration.
Conversational Analytics with WrenAI
- Generating SQL queries via natural language.
- Enabling interactive data exploration.
- Designing user-centric analytics experiences.
Embedded GenBI
- Integrating WrenAI dashboards into applications.
- Utilizing APIs to extend BI capabilities.
- Application scenarios for internal tools and customer-facing solutions.
Change Management for BI Modernization
- Communicating change across the organization.
- Training and upskilling teams.
- Measuring adoption success.
Scaling and Future Evolution
- Expanding adoption across business units.
- 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.
- Prior experience with legacy BI platforms and dashboard tools.
- Familiarity with core principles of organizational change management.
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
