• Explain the key principles, terminology and professional applications of Business Intelligence: Data Analysis and Reporting Techniques.
• Identify operational needs and common challenges related to information technology and data.
• Apply practical techniques for data, systems and practical tools in relevant work scenarios.
• Develop informed decisions and actionable solutions involving implementation, validation and governance.
• Evaluate outcomes using performance evaluation and improvement and propose improvements.

• Introduction to Business Intelligence: Data Analysis and Reporting Techniques: scope, terminology and practical relevance.
• Core foundations: Technical concepts and business requirements.
• Methods and tools: Data, systems and practical tools.
• Professional practice: Implementation, validation and governance.
• Applied focus: Data sources, quality checks and analysis requirements.
• Workshop: Hands-on analysis, visualization and interpretation; Communicating findings through evidence-based reports.
• Assessment and action planning: Performance evaluation and improvement.