Power BI and AI Essentials for Reporting and Visualization

Program Description

This two-day strategic program equips non-technical executives with the ability to transform fragmented corporate data into high-impact, AI-augmented visual narratives.
Participants will master the latest built-in AI capabilities of Power BI and Microsoft Copilot, moving beyond basic charts into intelligent data exploration and automated storytelling.
Designed for the Malaysian corporate landscape, this program bridges the gap between raw data and executive-level decision-making, ensuring reports are not only visually compelling but also structurally compliant with local data governance and PDPA 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 Power BI Ecosystem Basics: Understand the core architecture of Power BI and its role in a data-driven organization.
Master AI-Enhanced Visual Analytics: Navigate the Power BI ecosystem to identify high-value use cases for its native AI features and Copilot.
Construct Narrative-Driven Dashboards: Prototype workflows that use Power BI’s "Narrative" visual and Copilot to turn raw tables into concise executive summaries

Accelerate Report & Deck Production: Use Power BI’s built-in AI to automate the creation of report outlines, DAX formulas, and slide content to reduce manual workload.
Operationalize Strategic Market Intelligence: Utilize Power BI’s AI-powered "Key Influencers" and "Decomposition Tree" visuals to identify commercial drivers.
Establish Responsible Reporting Frameworks: Define "human-in-the-loop" checkpoints to manage data privacy and ensure the accuracy of AI-generated insights.

Program Details

Content

Day 1: Foundations, Basics & Automated Visuals

Module 1: Power BI Foundations for Executives

A non-technical introduction to the Power BI ecosystem (Desktop, Service, and Mobile) and how it integrates with the existing corporate tech stack.
Scenario (General): An executive team needs to understand how raw data from Excel, SQL, and Cloud sources flow into a centralized “Single Source of Truth.”
Hands-on: Navigation lab – explore the Power BI interface, connect to a sample dataset, and understand the relationship between “Data,” “Model,” and “Report” views.
Expected Impact: Foundation for all subsequent modules; clarity on how data moves from source to insight.

Module 2: The Modern Reporting Landscape – Power BI Meets Copilot

Understanding how Power BI’s built-in AI and Microsoft Copilot automate the creation of report structures, visual layouts, and DAX calculations.
Scenario (Banking): A leadership team uses Power BI Copilot to instantly draft an executive summary explaining visual variances in a loan portfolio dashboard.
Hands-on: Practice “Visual Prompting” – using Power BI’s Q&A feature and Copilot to generate the first draft of a departmental dashboard from a raw CSV file.
Expected Impact: Immediate improvement in report turnaround time; foundational ability to use AI as a reporting “thinking partner”.

Module 3: AI-Powered Marketing Strategy & Consumer Insights

Leveraging AI-powered visuals like “Key Influencers” to support campaign ideation and competitor analysis specifically for the Malaysian retail landscape.
Demo: Inputting consumer feedback data into Power BI → The AI identifies what drives supplement purchases and suggests audience personas based on the patterns.
Hands-on: Use Power BI’s “Decomposition Tree” to scan competitor positioning data and visualize market share drivers into a 1-page strategic summary.
Expected Impact: Strategic proposal preparation in half the time; more data-backed campaign angles with less manual research.

Module 4: AI for Presentation & Executive Deck Preparation

Using Power BI’s built-in 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.
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.

Day 2: Advanced Strategy, Storytelling & Governance

Module 5: Customer Intelligence & Sentiment Reporting

Visualizing customer feedback at scale using Power BI’s built-in sentiment analysis capabilities to identify pain points.
Scenario (CRM/Service): Inputting 500+ 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.

Module 6: 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 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.
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:

Custom Brand Reporting Bot: A personalized AI configuration pre-loaded with specific tone-of-voice and visualization guidelines.
Master Reporting Prompt Library: A repository of high-performing prompts for DAX, data cleaning, and executive summaries.
Live Power BI Executive Dashboard: A functional, AI-augmented dashboard prototype featuring automated narratives and Copilot-driven insights.

Prerequisites

Technical Knowledge: No prior coding, DAX, or technical AI experience is required; the program is designed for business and commercial professionals.
Essential Equipment: Participants must bring a laptop with Power BI Desktop installed and have access to web-based AI tools and Microsoft Copilot.
Mindset: A willingness to experiment with "thinking partner" AI workflows and a focus on data-backed decision-making.

Who Should Attend

Training Methodology

Specific Ecosystem Lab: Hands-on application using actual industry brand briefs and performance tables with Power BI and Microsoft Copilot.
AI Prompt Engineering: Interactive labs focusing on visual narrative discovery and clinical-to-human translation frameworks.
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 Power BI & Strategic 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.