(24 hrs) AI-Driven Business Intelligence: Smarter Reporting & Analytics (Part of SCTP)
About This Course
This course equips business owners, managers, and professionals with the capability to transform traditional reporting into "Active BI". Participants will learn to use Generative AI tools - such as ChatGPT, Microsoft Copilot, and DeepSeek - alongside Agentic AI frameworks to create dynamic "Thinking Partners" for their organizations.
Delivered through a structured Part-to-Whole learning design, participants progressively build capabilities from Analytical Prompting and multi-source data synthesis to the deployment of autonomous AI agents that automate complex technical workflows and validation gates.
The course begins by developing foundational analytical competence, enabling participants to move beyond static dashboards to natural language dialogue. Participants will master a four-stage data pipeline - Input, Prompting, Processing, and Review - to ensure data integrity and eliminate hallucinations.
These skills are extended into visual communication and Human-Computer Interaction (HCI), where participants design personalized dashboards and visual reports optimized for stakeholder cognitive speed.
Building on these foundations, the course advances into Multidimensional Forecasting and hybrid AI logic, combining traditional statistical backbones with generative reasoning.
Participants will explore Agentic AI use cases, such as configuring autonomous bots to quantify unstructured sentiment from thousands of data points or synthesize real-time competitor intelligence.
The course emphasizes data integrity, fairness, and explainability, utilizing the FAT (Fairness, Accountability, Transparency) framework and PDPA 2.0 standards. In the final stage, participants bridge the "So What?" gap using executive storytelling and execute a 90-day transformation roadmap to justify and scale responsible, agent-assisted business reporting within real-world organizational contexts.
What You'll Learn
2. Analyse evaluation metrics and performance indicators to assess the quality and reliability of AI-assisted KPI reporting, identify performance gaps, and suggest corrective actions.
3. Develop dashboards that present AI-generated insights and evaluation signals by creating a pipeline to capture outputs, calculate evaluation indicators, and display visual reports.
4. Establish success metrics for AI-assisted forecasting aligned with business objectives and risk tolerance, validate forecasts, and communicate their implications for decision-making.
5. Validate data integrity for AI-assisted reporting through statistical checks, mitigation of bias risks arising from data quality issues, and documentation of explainability justifications.
6. Analyse variations across customer and competitor segments to provide customised AI evaluation insights for stakeholder personas and improve planning effectiveness.
7. Utilise ethical frameworks and governance controls to assess and justify the use of AI in business reporting and decision-making.
Entry Requirements
Prerequisites
• Experience with business analysis: Minimal one year of work experience with knowledge of business analysis.
Language:
• Attained at least WPLN level 6 OR
• Obtained Grade C6 for GCE O level English OR
• Other equivalent qualifications
Academic:
• Obtained at least a pass or C6 at GCE O Level in at least 3 subjects OR
• Candidates with other qualifications will be considered on a case-by-case basis OR
• Mature candidates (≥ 30 years old) with 8 years of relevant working experience