Power BI and AI for Advanced Reporting and Visualization

Program Description

Power BI and AI for Advanced Reporting and Visualization
The program focuses on moving from static reporting to Predictive and Generative Intelligence.
Designed for the Malaysian corporate landscape, this workshop teaches leaders how to architect self-service BI ecosystems that use AI to identify hidden commercial drivers, automate complex DAX logic, and produce board-ready narratives that comply with PDPA and national governance standards.

While this outline serves as a foundational framework with use cases from multiple industries and functions, the final program is fully customized to your industry and internal workflows.

Participants work on real-world problems, not generic examples. We engage in a pre-workshop alignment to inject your specific organizational datasets, pain points, and proprietary use cases directly into the curriculum.

Learning Objectives

Master Advanced AI-Enhanced Visuals: Deep dive into Power BI’s "Key Influencers," "Decomposition Trees," and "Smart Narratives" to uncover root causes.
Leverage Microsoft Copilot for Rapid Prototyping: Use natural language to automate the creation of complex reports, calculations, and DAX measures.
Architect Narrative-Driven Dashboards: Design workflows that translate multidimensional data into concise executive summaries and "Executive Storytelling" visuals.

Program Details

Content

Day 1: Intelligent Discovery & Copilot Integration

Module 1: The Modern Reporting Landscape – Power BI Meets Copilot

Leveraging Microsoft Copilot to automate the “heavy lifting” of advanced reporting – from generating complex DAX formulas to creating entire report pages using natural language.
Scenario (Banking): A leadership team uses Power BI Copilot to instantly draft an executive summary explaining visual variances in a loan portfolio dashboard for a board meeting.
Hands-on: Practice “Visual Prompting” – interacting with Copilot to generate advanced measures and multi-layered report layouts from a raw corporate dataset.
Expected Impact: Immediate reduction in report development time; ability to iterate on complex data models using conversational AI.

Module 2: AI-Powered Marketing Strategy & Consumer Insights

Using the “Key Influencers” and “Decomposition Tree” visuals to identify the underlying factors driving consumer behavior and retail growth.
Demo (Retail): Inputting loyalty program data → The AI identifies what specific factors (pricing, location, or demographics) are the top drivers for repeat supplement purchases.
Hands-on: Use the “Decomposition Tree” to perform a “Drill-Down Audit” of competitor market share data, identifying specific regions where the brand is underperforming.
Expected Impact: Strategic proposal preparation based on verified data drivers rather than surface-level metrics.

Module 3: AI for Presentation & Executive Deck Preparation

Bridging the gap between Power BI and the C-Suite by using AI to extract visuals and structure them into high-stakes proposal decks and HQ submission storylines.
Scenario (Operations): Inputting a raw operational performance dashboard → Copilot generates slide titles, talking points, and a “what worked/what didn’t” narrative for an executive recap.
Hands-on: Create a 6–8 slide outline for a retailer campaign proposal, converting Power BI AI-generated insights into concise executive summaries.
Expected Impact: 30–50% reduction in time spent preparing decks; faster turnaround for HQ submissions and partner proposals.

Module 4: Customer Intelligence & Sentiment Reporting

Visualizing customer feedback at scale using Power BI’s built-in sentiment analysis capabilities to identify pain points and brand-safe response templates.
Scenario (CRM/Service): Inputting 1,000+ customer samples → Power BI visualizes volume trends and sentiment while Copilot drafts response templates (EN/BM/Chinese).
Hands-on: Build a “Sentiment Dashboard” that identifies escalating complaints and drafts internal talking points for the commercial lead.
Expected Impact: Faster response time; more consistent brand tone; reduced “CS fatigue” in drafting routine reports.

Day 2: Advanced Strategy, Storytelling & Governance

Module 5: Power BI AI for Data Storytelling & Narrative Discovery

Using Power BI’s “Smart Narrative” and Copilot to go beyond “what happened” to explaining “why it happened” across multiple data sources.
Scenario (Sales): Inputting disparate sales data → Power BI’s AI identifies the underlying drivers of a growth spike and drafts a “Best Practice” playbook for other regions.
Hands-on: Use Copilot to perform a “Pain-Point” audit on a functional report, identifying bottlenecks and recommending automated visual solutions.
Expected Impact: Move from raw visualization to actionable strategic intelligence; improved clarity for HQ communication.

Module 6: Predictive Trends & Anomaly Detection

Utilizing Power BI’s built-in AI forecasting and anomaly detection to identify “black swan” events or significant market shifts before they escalate.
Scenario (Manufacturing/Logistics): An operations lead uses Anomaly Detection to flag unusual spikes in raw material costs, while the Forecast tool projects supply chain stability for the festive season.
Hands-on: Configure an “Anomaly Alert” dashboard that automatically notifies management when sales or operational metrics fall outside expected bounds.
Expected Impact: Proactive risk management; shift from reactive to predictive leadership.

Module 7: Responsible AI, Governance & PDPA Compliance

Defining guardrails around data privacy (PDPA), health/financial claims, and brand voice in AI-augmented Power BI reporting.
Scenario (HR/Legal): Establishing human-in-the-loop checkpoints for content and data visuals that involve medical or healthcare claims sensitivity.
Hands-on: Co-create a “Brand Reporting Playbook” outlining data privacy do’s/don’ts and approval steps for AI-generated insights.
Expected Impact: Brand integrity structurally embedded in the reporting workflow; significantly reduced risk of regulatory breaches.

Module 8: Brainstorming High-Impact AI Use Cases & Value Mapping

Identifying and prioritizing Power BI AI and Copilot opportunities that align with specific business goals, moving from “interesting ideas” to “strategic imperatives.”
The Framework: Evaluating ideas based on Feasibility (Data availability) vs. Business Value (ROI, time saved, or competitive edge).
Hands-on: Design a 3–6 month Power BI AI rollout plan for your department with measurable KPIs and assigned owners.
Expected Impact: A prioritized “AI Visual Backlog” ready for implementation; clearer path to data-backed decisions.

List of Deliverables

Upon completion of the program, participants will have produced a tangible “AI Portfolio” including:

Proprietary GenAI Reporting Playbook: A co-created framework outlining data privacy rules and human-in-the-loop checkpoints.
Predictive Risk & Anomaly Tracker: A configured alert system for proactive operational and financial monitoring.
LinkedIn & GitHub Showcase: All mini-projects and dashboard prototypes are designed to be "portfolio-ready," allowing leaders to showcase their AI proficiency on professional platforms.

Prerequisites

Core Competency: Completion of the "Power BI Essentials" program or equivalent experience with Desktop and Service views.
Technical Knowledge: No prior coding or DAX mastery is required; the program focuses on AI-led automation.
Essential Equipment: Participants must bring a laptop with Power BI Desktop installed and have access to Microsoft Copilot features.

Who Should Attend

Training Methodology

Advanced Ecosystem Lab: Hands-on application using Microsoft Copilot and AI visuals with actual industry data.
Workflow Architecture Breakouts: Critical analysis sessions comparing traditional reporting workflows against AI-governed ecosystems.
Executive Intelligence Co-Design: Group sessions to build the GenAI Reporting Playbook and a phased adoption roadmap.

100% HRDC-Claimable

This program is fully registered and compliant with HRDC (Human Resource Development Corporation) requirements under the SBL-Khas scheme, allowing Malaysian employers to offset the training costs against their levy.

Certification of Completion

Participants who successfully complete the program will be awarded a “Professional Certificate in Advanced Power BI & AI Visualization“.

Post-Workshop Consulting (Optional)

For organizations looking to bridge the gap between training and execution, we offer optional, paid consulting services. These engagements provide expertise and technical support for specific pilot development or full-scale operational integration of the data- and AI-driven use cases established during the program.