TRAINING OVERVIEW

In an era of data-driven decision-making, dashboards must evolve from static reporting tools to intelligent systems capable of predicting performance and guiding strategic moves. This course equips professionals with the skills to design AI-powered dashboards that feature predictive KPIs, real-time analytics, and decision intelligence. Participants will learn to leverage machine learning and data visualization tools to turn raw data into actionable foresight.

TRAINING TOPICS

• Principles of AI-enabled dashboards and smart visualization
• Predictive analytics and KPI forecasting models
• Time-series analysis for performance trends
• Real-time data integration and anomaly detection
• Designing dynamic, decision-support dashboards
• Natural Language Generation (NLG) for insights narration
• Dashboard interactivity and AI-assisted drilldowns
• Tools: Power BI AI, Tableau ML extensions, Google Looker, Qlik AutoML
• Embedding ethical AI in business intelligence
• Case studies from finance, HR, operations, and marketing

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO

• Design AI-enhanced dashboards with predictive capabilities
• Select and define leading KPIs for strategic foresight
• Use machine learning to model future performance scenarios
• Create interactive dashboards with smart alerts and narratives
• Integrate data pipelines for real-time updates
• Apply ethical guidelines in AI-based KPI reporting
• Evaluate tools like Power BI and Tableau for predictive analytics
• Translate AI outputs into visually engaging stories

TRAINING IS TAILORED TO

• Business Intelligence Managers
• Financial Analysts & Controllers
• Operations & Strategy Executives
• Data Analysts and Scientists
• Digital Transformation Leaders
• HR & Marketing Performance Managers

TRAINING METHODOLOGY

The course blends hands-on labs, case study walkthroughs, peer workshops, AI tool simulations, and instructor-led demonstrations. Each participant will build their own AI dashboard prototype and evaluate its predictive performance using real-world datasets.

DAY ONE: FOUNDATIONS OF AI-ENABLED DASHBOARDS

• Introduction to AI in Business Intelligence
• Traditional vs Predictive Dashboards
• Selecting the right KPIs for prediction
• Overview of Power BI AI, Tableau, Looker
• Connecting dashboards with real-time data
• Demo: Building a basic AI-driven dashboard

DAY TWO: MACHINE LEARNING FOR KPI PREDICTION

• Introduction to regression, classification, and time-series models
• Forecasting techniques for key performance metrics
• Using Power BI’s Forecasting and Q&A visual
• Setting up predictive triggers and alert conditions
• Demo: ML-based KPI forecasting in Tableau
• Workshop: KPI model creation and testing

DAY THREE: VISUAL NARRATIVES & INTERACTIVITY

• Storytelling with data: using NLG and visual hierarchy
• Customizing dashboard interactivity with filters and AI insights
• AI-based anomaly and trend detection
• Building decision trees into dashboards
• Demo: Creating drill-down views and smart narratives
• Exercise: Dashboard narrative design

DAY FOUR: ENTERPRISE INTEGRATION & ETHICAL DEPLOYMENT

• Embedding dashboards in business platforms (SharePoint, CRM, ERP)
• Real-time monitoring and updating pipelines
• Case studies: Finance, HR, Marketing, Operations
• Ensuring transparency and avoiding AI bias
• Final assessment: Dashboard pitch presentation
• Wrap-up and certification guidance