Operational Data Analysis Using Business Intelligence and Data Visualization Tools
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.
- 5training days
- 5modules
- 10sessions
- 30topics
About the programme
Course Overview
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 business intelligence and data visualization tools 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 business intelligence and data visualization tools 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.
Expected Learning Outcomes
Understand the fundamentals of operational data analysis using business intelligence and data visualization tools
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
Who Should Attend
Data analysts and information systems engineers
Operations and quality managers
Digital transformation and reporting officers
Performance and planning digital collaboration tools
Dashboard and report developers
Academics and researchers in data analytics
Course Modules
Open any module to see its sessions and topics.
01Introduction to Operational Data Analysis
Session 1Concepts and Importance of Data Analytics
- Data vs. information
- Data analysis lifecycle
- Role of analytics in performance improvement
Session 2Overview of business intelligence and data visualization tools
- Comparison of features and capabilities
- User interface and core components
- Use cases in operational environments
02Data Import and Cleaning
Session 1Connecting Data Sources
- Databases, spreadsheets, APIs
- Data refresh and scheduling
- Handling time-series data
Session 2Data Cleaning and Preparation
- Managing missing and duplicate values
- Data transformation and formatting
- Creating pivot tables and relationships
03Analysis and Visualization
Session 1Analytical Tools in business intelligence and data visualization tools
- Using DAX and calculated fields
- Filtering and aggregating data
- Trend and comparative analysis
Session 2Designing Interactive Visualizations
- Choosing appropriate chart types
- Building dynamic dashboards
- Enhancing user experience
04Report Building and Sharing
Session 1Creating Advanced Analytical Reports
- Operational performance reports
- Time-based comparison reports
- Early warning and alert reports
Session 2Publishing and Sharing Reports
- Web and cloud publishing
- Access control and permissions
- Automated data updates
05Practical Applications and Integration
Session 1Case Studies from Real Work Environments
- Production data analysis
- KPI monitoring
- Operational process optimization
Session 2Integration with Enterprise Systems
- Connecting business intelligence tools/data visualization tools with ERP and CRM
- Automating reports and analytics
- Supporting strategic decision-making
Complete your registration
We will contact you within one business day to confirm.