Global Learning for Operational Leaders
Course LM-027
Effective Business Decisions Using Data Analysis
Modern organizations generate large amounts of data, but real value comes from turning that data into smart business dec... The outline covers Foundations of Data-Driven Decision Making, Understanding and Exploring Busin...
Classroom
16 sessions
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Online / Live
16 sessions
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Introduction
Course overview
Why Attend
Modern organizations generate large amounts of data, but real value comes from turning that data into smart business decisions. Leaders and managers who understand analytics can improve planning, reduce uncertainty, identify opportunities, and solve problems faster. This course provides participants with practical tools to interpret data, apply statistical thinking, evaluate assumptions, and use predictive analytics to support strategic decision-making.
Course Methodology
This course uses an interactive and practical approach through presentations, business cases, analytics exercises, group discussions, practical calculations, dashboards, and real workplace examples.
Course Objectives
- Understand the role of data in business decision-making
- Apply core analytics concepts to management problems
- Interpret business data using statistics and visualisation
- Evaluate uncertainty and reliability of data insights
- Use hypothesis testing for business decisions
- Apply predictive analytics and forecasting techniques
- Identify risks and opportunities through data trends
- Communicate analytical findings clearly to stakeholders
Target Audience
- Managers and Supervisors
- Business Analysts
- Finance Professionals
- Operations Managers
- Project Managers
- Strategy Professionals
- Anyone responsible for decision-making using data
Target Competencies
- Data Analysis
- Business Decision-Making
- Statistical Thinking
- Forecasting
- Problem Solving
- Performance Analysis
- Predictive Analytics
- Reporting Skills
What you will achieve
Learning objectives
- Understand the role of data in business decision-making
- Apply core analytics concepts to management problems
- Interpret business data using statistics and visualisation
- Evaluate uncertainty and reliability of data insights
- Use hypothesis testing for business decisions
- Apply predictive analytics and forecasting techniques
- Identify risks and opportunities through data trends
- Communicate analytical findings clearly to stakeholders
Who should attend
Target audience
- Managers and Supervisors
- Business Analysts
- Finance Professionals
- Operations Managers
- Project Managers
- Strategy Professionals
- Anyone responsible for decision-making using data
- Target Competencies
Methodology
Learning approach
- This course uses an interactive and practical approach through presentations, business cases, analytics exercises, group discussions, practical calculations, dashboards, and real workplace examples.
Course content
Five focused days of learning and application
Day 1
Foundations of Data-Driven Decision Making
- Importance of data in modern organizations
- Meaning of data analytics and managerial value
- Types of decisions supported by analytics
- Stages of the analytics process
- Common approaches to business analytics
- Challenges in using organizational data effectively
- Introduction to quantitative thinking for managers
- Overview of common analytics tools
Day 2
Understanding and Exploring Business Data
- Different categories of business data
- Collecting, cleaning, and organizing data for analysis
- Introduction to descriptive statistics
- Key measures: mean, median, variance, and distribution
- Understanding variability and data spread
- Identifying patterns, trends, and anomalies
- Data visualization for management reporting
Day 3
Statistical Insight for Business Decisions
- Role of statistics in business analytics
- Sampling concepts and common sampling methods
- Understanding uncertainty in business data
- Normal distribution and probability fundamentals
- Confidence intervals and estimation methods
- Assessing reliability of data conclusions
- Applying statistics to real business problems
Day 4
Hypothesis Testing and Business Evaluation
- Purpose of hypothesis testing in business decisions
- Creating measurable business hypotheses
- Null versus alternative hypotheses
- Type I and Type II decision errors
- Statistical tests for evaluating assumptions
- Risks of bias and incorrect conclusions
- Turning findings into practical recommendations
Day 5
Predictive Analytics for Strategic Decisions
- Introduction to predictive analytics and forecasting
- Understanding relationships between business variables
- Correlation and regression for prediction
- Building and interpreting predictive models
- Data mining concepts and business uses
- Identifying opportunities and risks through analytics
- Using predictive insights for strategic decisions
- Final workshop: data-driven decision case study
FAQ
Frequently asked questions
What does Effective Business Decisions Using Data Analysis (LM-027) cover?
This course covers Leadership and Management through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 1 - 5 June 2026, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.
Who should attend this course?
Managers and Supervisors, Business Analysts, Finance Professionals
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.
Where are classroom sessions delivered?
Current classroom venues include Istanbul, Kuala lumpur, Amsterdam, London, Barcelona, Paris, Munich.
Still Have Questions?
Contact the academy team for course details, delivery options, and delegate guidance.
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