Course Outline
Introduction to BI Modernization with WrenAI
- Constraints of legacy BI systems.
- Core capabilities of WrenAI.
- Drivers and business outcomes of modernization.
Assessing Legacy BI Environments
- Cataloging existing dashboards and reports.
- Identifying high-value use cases.
- Conducting gap analysis between legacy BI and WrenAI.
Adoption Strategy
- Engaging stakeholders and achieving alignment.
- Executing pilot projects and demonstrating value.
- Developing an 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.
- 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 apps.
Change Management for BI Modernization
- Communicating change initiatives 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.
- Exploring future trends in conversational and generative BI.
Summary and Next Steps
Requirements
- A foundational understanding of business intelligence workflows.
- Practical experience with legacy BI platforms and dashboards.
- 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
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
