(24hrs) AI-Driven Business Intelligence: Smarter Reporting & Analytics

3-Day AI Business Intelligence Course in Singapore: Learn to automate reporting, build dashboards, and make smarter decisions with AI.

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Up to 70% SkillsFuture Singapore Funding Diagram - SkillsFuture Credit, PSEA & UTAP Claimable

Up to 90%
SkillsFuture Subsidy

Course Synopsis

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.

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 aged ≥ 30 years old with 8 years of relevant working experience.

Learning Units

LU1 – Foundations of Generative AI in Business Reporting

Case Study – How AI Helped a Business Make Better Decisions: The Strategic Thinking Partner: Moving from Static Dashboards to Natural Dialogue
Using AI to Combine Data & Spot Business Trends Faster: The No-Code Data Engineer & The Precision Architect for Multi-Source Synthesis

LU2 – Understanding AI Evaluation Metrics and Performance Indicators

Tracking KPIs & Business Performance with Help from AI: Implementing a Four-Stage Pipeline for Data Integrity and Reliability

LU3 – Creating Visual Insights: Dashboards and Data Visualisation with AI

Creating Smart Dashboards & Visual Reports with AI: Optimizing Visual Rationale for Stakeholder Cognitive Speed

LU4 – Task-Specific Evaluation: Forecasting and Business Metrics

Forecasting Sales & Business Trends with AI: Future-Proofing Predictive BI through Hybrid AI Logic and Statistical Backbones

LU5 – Data Integrity, Fairness, and Explainability in AI Reporting

Cleaning Up Your Business Data with AI: Quantifying Unstructured Sentiment and Statistical Bias Mitigation

LU6 – Adaptive and Personalised AI Insights for Business Decisions

Understanding Your Customers & Competitors Better with AI: Synthesizing Competitor Filings for Real-Time Market Intelligence
Using AI to Make Smarter Business Plans & Growth Strategies: Architectural Prompting for High-Tier Actionable Intelligence and Personalized Interfaces

LU7 – Responsible and Ethical AI Use in Business Reporting

Using AI Responsibly in Business Reporting & Decision-Making: Navigating PDPA 2.0, FAT Governance, and Building Audit Trails
Brainstorming AI Ideas to Improve Reporting & Business Strategy: Bridging the “So What?” Gap with Executive Narratives and the 90-Day Roadmap

Course Objectives

By the end of this course, you should be able to:

Analyse AI-generated business reports by synthesising multi-source data and ensuring alignment with data patterns and reporting goals.
Analyse evaluation metrics and performance indicators to assess the quality and reliability of AI-assisted KPI reporting, identify performance gaps, and suggest corrective actions.
Develop dashboards that present AI-generated insights and evaluation signals by creating a pipeline to capture outputs, calculate evaluation indicators, and display visual reports.
Establish success metrics for AI-assisted forecasting aligned with business objectives and risk tolerance, validate forecasts, and communicate their implications for decision-making.
Validate data integrity for AI-assisted reporting through statistical checks, mitigation of bias risks arising from data quality issues, and documentation of explainability justifications.
Analyse variations across customer and competitor segments to provide customised AI evaluation insights for stakeholder personas and improve planning effectiveness.
Utilise ethical frameworks and governance controls to assess and justify the use of AI in business reporting and decision-making.

Total Training Hours: 24 hours, including a 2-hour assessment

Practical Assessment
Written Assessment

Fees and Subsidies

*Eligible for Singaporean Citizens, Permanent Residents, and Long-Term Visit Pass Plus Holders

Course Fee:
S$1,250.00 (before subsidy and GST)

Course Fee After Eligible Subsidies:
From S$158.75 (inclusive of 9% GST) after 90% SkillsFuture Funding