Excel Modelling, Power BI Analytics Integration & Enterprise-Level Insights Engineering
Venue: Gelian Hotel, Machakos-Kenya
Date: 9th - 14th February 2026
Cost: Kshs. 80,000 / USD 800
CPD points: 10
Overview
Achieve professional mastery in advanced analytical solution architecture through this intensive program in sophisticated Excel modeling, Power BI integration, and enterprise insight engineering that transforms data into strategic organizational intelligence. Participants will develop expertise in building complex financial and operational models in Excel while seamlessly integrating them with Power BI for enhanced visualization, sharing, and automated refresh capabilities. The curriculum emphasizes architectural approaches to analytical solution design, creating scalable, maintainable systems that serve diverse stakeholder needs while ensuring data integrity and performance efficiency. Through hands-on projects addressing real business challenges, attendees will learn to engineer complete analytical solutions from data extraction and transformation through modeling, visualization, and deployment. This program prepares analytics professionals to design and implement enterprise-grade analytical systems that drive data-informed decision-making.
Objectives
- Design sophisticated Excel models implementing complex business logic, scenario analysis, and dynamic calculations
- Master Power BI integration techniques connecting Excel models to interactive dashboards and automated reporting systems
- Develop enterprise insight engineering frameworks architecting complete analytical solutions from data source to decision support
- Implement data transformation pipelines cleaning, shaping, and preparing data for analytical consumption across Excel and Power BI
- Create advanced visualization solutions combining Excel charts, Power BI visuals, and custom graphics for maximum insight communication
- Establish data governance approaches ensuring accuracy, consistency, and security in enterprise analytical solutions
- Design user adoption strategies making complex analytical tools accessible and valuable to diverse organizational users
- Optimize solution performance managing calculation efficiency, data refresh cycles, and user experience across platforms
Target Audience
- Financial modelers and quantitative analysts building complex business and financial models
- Business intelligence architects designing enterprise analytical solutions and data visualization platforms
- Data analysts and scientists requiring advanced Excel and Power BI capabilities for complex analytical work
- Finance professionals developing integrated budgeting, forecasting, and performance reporting solutions
- Operations analysts creating operational dashboards and performance monitoring systems
- Management consultants developing client-specific analytical tools and decision support systems
- IT professionals supporting business intelligence and analytical solution development and maintenance
- Professionals in any analytical role seeking to enhance their solution architecture and integration capabilities
Methodology
- Solution architecture workshops designing complete analytical systems addressing specific business challenges
- Hands-on integration labs connecting Excel models to Power BI dashboards with automated data refresh
- Performance optimization sessions identifying and addressing bottlenecks in complex analytical solutions
- Peer code reviews examining and improving analytical models and integration approaches
- Case study analyses exploring sophisticated Excel-Power BI solutions from various industries and applications
- User experience design sessions creating intuitive interfaces and navigation for complex analytical tools
- Deployment planning workshops developing rollout strategies, training plans, and support structures for analytical solutions
