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Course Outline
Day 1 – Foundations of Business Data Analysis: Introduction to Data Analysis in Business
- Definition and scope of data analysis
- Types of business data
- The role of analytics in decision-making
- Common business KPIs and metrics
- Transforming raw data into actionable insights
Analytical Thinking & Problem Solving
- Formulating effective business questions
- Defining measurable objectives
- Basics of root cause analysis
- Distinguishing correlation from causation
- Recognizing bias and misleading interpretations
Working with Data in Excel
- Properly structuring datasets
- Data cleaning essentials
- Sorting, filtering, and conditional formatting
- Formulas and functions for analysis
- Pivot Tables & Pivot Charts
Data Visualization Fundamentals
- Selecting appropriate chart types
- Ensuring visual clarity and simplicity
- Dashboard design principles
- Common visualization pitfalls
- Introduction to data storytelling
Day 2 – Reporting, Insights & Business Decision-Making: Introduction to Power BI Concepts
- Understanding Power BI
- Data connections and data models
- Building interactive dashboards
- Utilizing filters, slicers, and drill-down analysis
- Grasping the concept of self-service BI
KPI Analysis & Performance Monitoring
- Operational KPIs
- Sales and financial metrics
- Customer and service KPIs
- Trend analysis and benchmarking
- Identifying anomalies and risks
Data Storytelling for Business Users
- Presenting insights to stakeholders
- Structuring analytical findings
- Converting data into recommendations
- Executive summary techniques
- Developing action-oriented conclusions
Data-Driven Decision Making
- Applying data in operational decisions
- Prioritization using metrics
- Basics of scenario analysis
- Risk identification through data
- Best practices for analytical collaboration
Recap & Action Planning
- Review of key concepts
- Common business analysis mistakes
- Practical next steps
- Q&A session
- Personal action planning
Requirements
Target Audience
- Business professionals managing reports and operational data
- Team leads and managers engaged in decision-making processes
- Professionals from Finance, HR, Sales, Operations, Procurement, and Support departments
- Individuals requiring the ability to interpret and communicate data insights
- Non-technical staff aiming to enhance their analytical capabilities
Recommended Prerequisites
- Familiarity with basic Excel functions
- Experience handling tables, reports, or business data
- No programming experience required
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
