🧠 General Introduction

In the age of digital transformation and data-driven decision-making, the ability to analyze operational data effectively is a key driver of organizational success.

Tools like Power BI and Tableau have revolutionized business intelligence by enabling users to transform raw data into interactive dashboards and insightful reports.

These platforms empower professionals to monitor key performance indicators (KPIs), uncover operational patterns, and identify risks and opportunities in real time.

By leveraging advanced visualization and analytics features, organizations can improve transparency, accelerate decision-making, and foster cross-functional collaboration.

This workshop is designed to equip participants with practical skills in using Power BI and Tableau to analyze operational data, including data import, cleaning, visualization, and report creation.

It includes hands-on exercises, real-world case studies, and guided projects to help participants apply theoretical knowledge to practical business scenarios. By the end of the program, attendees will be able to build dynamic analytical solutions that support strategic decisions and enhance operational efficiency.

🎯 Target Audience

• Data analysts and information systems engineers
• Operations and quality managers
• Digital transformation and reporting officers
• Performance and planning teams
• Dashboard and report developers
• Academics and researchers in data analytics

🎯 Expected Outcomes

• Understand the fundamentals of operational data analysis using Power BI and Tableau
• Import and clean data from multiple sources
• Design interactive dashboards and analytical reports
• Use visualization tools to identify trends and patterns
• Support decision-making and improve organizational performance through analytics

🧪 Scientific Topics

Theme 1: Introduction to Operational Data Analysis

Session 1: Concepts and Importance of Data Analytics

• Data vs. information
• Data analysis lifecycle
• Role of analytics in performance improvement

Session 2: Overview of Power BI and Tableau

• Comparison of features and capabilities
• User interface and core components
• Use cases in operational environments

Theme 2: Data Import and Cleaning

Session 1: Connecting Data Sources

• Databases, Excel, APIs
• Data refresh and scheduling
• Handling time-series data

Session 2: Data Cleaning and Preparation

• Managing missing and duplicate values
• Data transformation and formatting
• Creating pivot tables and relationships

Theme 3: Analysis and Visualization

Session 1: Analytical Tools in Power BI and Tableau

• Using DAX and calculated fields
• Filtering and aggregating data
• Trend and comparative analysis

Session 2: Designing Interactive Visualizations

• Choosing appropriate chart types
• Building dynamic dashboards
• Enhancing user experience

Theme 4: Report Building and Sharing

Session 1: Creating Advanced Analytical Reports

• Operational performance reports
• Time-based comparison reports
• Early warning and alert reports

Session 2: Publishing and Sharing Reports

• Web and cloud publishing
• Access control and permissions
• Automated data updates

Theme 5: Practical Applications and Integration

Session 1: Case Studies from Real Work Environments

• Production data analysis
• KPI monitoring
• Operational process optimization

Session 2: Integration with Enterprise Systems

• Connecting Power BI/Tableau with ERP and CRM
• Automating reports and analytics
• Supporting strategic decision-making