Course Outline
Foundations for Business Intelligence Modernization Using WrenAI
- Constraints inherent in conventional business intelligence infrastructure
- Core functional capabilities provided by WrenAI
- Catalysts for modernization and expected operational outcomes
Evaluation of Existing Business Intelligence Environments
- Comprehensive inventory of current dashboards and reporting assets
- Identification of high-priority use cases
- Gap analysis comparing legacy systems with WrenAI capabilities
Strategy for Platform Adoption
- Engagement and alignment of key stakeholders
- Execution of pilot initiatives to demonstrate value
- Development of a structured adoption roadmap
Migration Planning and Execution
- Methodologies for migrating dashboard assets
- Alignment and transformation of data models
- Safeguarding operational continuity during transition phases
Implementation of Conversational Analytics with WrenAI
- Translation of natural language inputs into SQL query execution
- Facilitating interactive data exploration
- Designing user-centered analytics interfaces
Deployment of Embedded Generative Business Intelligence
- Integration of WrenAI dashboards within application environments
- Utilization of APIs to extend business intelligence functions
- Application scenarios for internal operational tools and external client applications
Change Management for Business Intelligence Modernization
- Dissemination of change communications across the organization
- Training programs for workforce upskilling
- Metrics for assessing adoption success
Scaling Operations and Future Development
- Expanding usage across various business units
- Establishing governance and standardization protocols in modern business intelligence
- Emerging trends in conversational and generative business intelligence
Summary and Recommended Next Steps
Requirements
- Working knowledge of business intelligence workflows
- Practical experience with legacy business intelligence platforms and dashboards
- Familiarity with organizational change management principles
Target Audience
- Business Intelligence Managers
- Data Platform Program Managers
- Solutions Architects
Testimonials (3)
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
lots of pratical exercises