Workshop Modules

Module 1: AI in Business Intelligence – Enhancing Human Judgment with Machine Intelligence

• How Generative AI Complements Human Analysis, Not Replaces It
• From Descriptive to Predictive & Prescriptive Business Intelligence
• Examples: AI-Generated Dashboards, Executive Summaries & Reports
• Two-Way Discussion: Where Current Reports Fall Short – Speed, Clarity, or
• Actionability
• Reflection: The Evolving Role of BI Teams in AI-Driven Organisations

Module 2: Evaluating AI Outputs – Metrics, Bias & Trust

• Overview of Key Evaluation Metrics: BLEU Score, Inception Score, Accuracy &
• Interpretability
• Fairness, Bias & Explainability in AI-Generated Outputs
• Case Example: Biased AI Summary Skewing Stakeholder Decisions
• Tools & Techniques to Assess Reliability of AI-Generated Business Reports
• Discussion: What Builds or Erodes Trust in an AI-Generated Dashboard

Module 3: Visualising Insights – Dashboards, Trends & Narratives

• Use Cases: AI-Generated Dashboards, Trend Summaries & Heatmaps
• Demo: Turning Raw Data into Visual Summaries with ChatGPT & Power BI/Looker
• Studio
• Hands-On Critique: “Does This Dashboard Drive Action?”
• Prompting Tips: Writing Better Insights & Business Narratives with AI
• Prompt Examples: Converting KPIs into Stakeholder-Ready Content

Module 4: Forecasting, Personalisation & Smart Decisions

• AI for Personalised Reporting & Forward-Looking Analytics
• Use Cases: Sales Forecasting, Department-Level Reports, Anomaly Alerts
• Case Study: GPT-Enabled BI for Improved Planning
• Discussion: How Adaptive & Real-Time Insights Support Smarter Decisions
• Checklist: What Makes AI Forecasts Reliable vs. Risky

Module 5: Hands-On Lab: From Data to Action with Generative AI

• Practical Exercises: Generating Summaries, Key Takeaways & Visual Descriptions from Mock Data
• Scenario Tasks: Executive Summary, Variance Identification & Trend Explanation
• Tools: ChatGPT, Excel, Tableau, Looker Studio & Others
• Peer Sharing: Presenting AI-Generated Outputs & Lessons Learned

Module 6: Group Brainstorm: AI-Powered Business Intelligence Use Cases & Pain Points

• Team Exercise: Identifying Current Reporting & Insight Generation Bottlenecks
• Guided Prompts: Manual Compilation, Under-Utilised Reports, Non-Technical User Needs
• Group Presentations: AI Opportunities for Smarter Business Intelligence
• Output: Shared List of AI-Enabled Enhancements to Explore Further

By the end of this workshop, participants will be able to:

• Comprehend how AI supports smarter reporting, analysis, and business decisions.
• Apply evaluation metrics to assess AI-generated content in Business Intelligence settings.
• Use AI tools to generate dashboards, summaries, and forecasts from raw data.
• Improve storytelling and visualisation quality with AI assistance.
• Identify practical Business Intelligence workflows where AI can reduce time-to-insight.
• Co-create new AI opportunities within their reporting environments.

• Discover how AI can make reporting faster, clearer, and more impactful.
• Get hands-on with tools that summarise and visualise business data.
• Learn how to evaluate and trust AI-generated insights.
• Collaborate with peers to identify automation opportunities in your Business Intelligence workflows.
• Leave with a ready-to-test list of AI-powered Business Intelligence improvements.

• Business Intelligence Analysts
• Reporting and Data Visualisation Specialists
• Strategy and Planning Teams
• Functional Analysts (Finance, Ops, Marketing, HR)
• Team Leaders seeking faster, clearer insights
• Anyone responsible for reporting, dashboarding, or business insights