Course Outline
Introduction to BI Modernisation with WrenAI
- Limitations of legacy BI systems.
- Key capabilities of WrenAI.
- Drivers for modernisation and expected business outcomes.
Assessing Legacy BI Environments
- Auditing existing dashboards and reports.
- Identifying high-value use cases.
- Conducting a gap analysis between legacy BI and WrenAI.
Adoption Strategy
- Engaging and aligning stakeholders.
- Launching pilot projects and proving value.
- Developing an adoption roadmap.
Migration Planning
- Approaches for migrating dashboards.
- Aligning and transforming data models.
- Ensuring business continuity during migration.
Conversational Analytics with WrenAI
- Generating SQL queries from natural language.
- Interactively exploring data.
- Designing user-centric analytics experiences.
Embedded GenBI
- Integrating WrenAI dashboards into applications.
- Leveraging APIs to extend BI capabilities.
- Identifying use cases for internal tools and customer-facing applications.
Change Management for BI Modernisation
- Communicating changes across the organisation.
- Training and upskilling teams.
- Measuring adoption success.
Scaling and Future Evolution
- Expanding adoption across business units.
- Establishing governance and standardisation in modern BI.
- Exploring future trends in conversational and generative BI.
Summary and Next Steps
Requirements
- A solid understanding of business intelligence workflows.
- Prior experience with legacy BI platforms and dashboards.
- Familiarity with organisational change management principles.
Target Audience
- BI managers.
- Data platform project 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
