Overview Program

In today’s business environment, organizations generate more data than ever before. However, having access to data does not automatically lead to better decisions. Many professionals struggle to transform raw data into meaningful insights due to limited analytical capabilities, fragmented information, and a lack of effective visualization techniques.

At the same time, Artificial Intelligence (AI) is revolutionizing business analytics by enabling faster data exploration, automated insight generation, and predictive recommendations. Combined with Microsoft Power BI, professionals can move beyond static reports and create interactive dashboards that support evidence-based decision making.

This program equips participants with practical skills to analyze business data, build insightful dashboards, leverage AI to accelerate analysis, and confidently communicate recommendations to stakeholders. The emphasis is on solving real business problems rather than learning technical programming.

What You’ll Learn?

Participants will learn how to:

  • Understand the principles of data-driven decision making.
  • Interpret business data to identify trends, risks, and opportunities.
  • Apply AI to accelerate data analysis and generate business insights.
  • Build interactive dashboards using Microsoft Power BI.
  • Develop compelling data stories that influence business decisions.
  • Translate analytical findings into practical business recommendations.

Program Features

  • Data-Driven Mindset: Strengthen the ability to ask the right business questions and interpret data for decisions.
  • Hands-on Power BI Lab: Build interactive visualizations and dashboards using a provided business dataset.
  • AI-Assisted Analytics: Use AI to accelerate exploration, insight generation, forecasting, and analysis.
  • Business Analytics: Apply KPI, trend, variance, root cause, opportunity, and risk analysis.
  • Data Storytelling: Translate analytical findings into clear recommendations and executive-level communication.
  • Practice-Oriented Learning: Combine demonstrations, case studies, dashboard development, and presentation feedback.

Who Should Enroll?

This program is suitable for:

  • Supervisors
  • Team Leaders
  • Managers
  • Business Analysts
  • Finance Professionals
  • Marketing Professionals
  • Sales Managers
  • Operations Professionals
  • HR Business Partners
  • Project Managers
  • Professionals responsible for reporting and business decision making
  • Prerequisites

Prerequisite: Basic Microsoft Excel knowledge No prior Power BI experience required

Brief Program

Total Sessions 4 Sessions
Time/sessions 90 minutes
Day 1 Day
Time 08.00–17.00
Learning Approach Interactive, practical, and application-based

Outline Program

Day Session Session Title Session Details
Day 1 Session 1 Building a Data-Driven Mindset • Theme: Think with Data, Decide with Confidence

• Why Data-Driven Organizations Outperform Others

• Types of Business Data

• Data vs Information vs Insight

• Asking the Right Business Questions

• Decision-Making Biases

• Critical Thinking Using Data

• AI’s Role in Modern Analytics

• Participants analyze a business scenario and identify the key questions that data should answer.

• Output: Business Question Framework.
Session 2 Data Analysis with AI & Power BI • Theme: From Raw Data to Business Insight

• Introduction to Microsoft Power BI

• Importing & Preparing Data

• Data Cleaning Basics

• Creating Interactive Visualizations

• Selecting the Right Charts

• AI Features in Power BI

• AI-assisted Insight Generation

• Dashboard Best Practices

• Participants build a business dashboard from a provided dataset.

• Output: Interactive Power BI Dashboard.
Session 3 Business Analytics & Decision Making • Theme: Finding the Story Behind the Numbers

• KPI Analysis

• Trend & Variance Analysis

• Root Cause Analysis

• Customer & Sales Analysis

• Forecasting with AI

• Identifying Business Opportunities

• Risk Assessment

• Prioritizing Business Actions

• Teams analyze a simulated business dataset and identify recommendations for management.

• Output: Business Insight Report.
Session 4 Data Storytelling & Executive Presentation • Theme: Influence Decisions with Data

• Data Storytelling Framework

• Executive Dashboard Design

• Presenting Insights Clearly

• Recommendation Framework

• Executive-Level Communication

• Common Mistakes in Data Presentation

• Action Planning

• Participants present their dashboard and recommendations to a management panel.

• Output: Executive Business Presentation.