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...
- 5 daysClassroom or online
- 17Upcoming dates
- 7Cities
- €1,925Fees from
Classroom
17 sessionsOnline / Live
17 sessionsIntroduction
Course overview
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.
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
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.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
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
- Coffee break
- Stages of the analytics process (continued)
- 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
- Coffee break
- Key measures: mean, median, variance, and distribution (continued)
- 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
- Coffee break
- Normal distribution and probability fundamentals (continued)
- 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
- Coffee break
- Type I and Type II decision errors (continued)
- 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
- Coffee break
- Building and interpreting predictive models (continued)
- 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
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Effective Business Decisions Using Data Analysis. Can't find your answer?
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 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Managers and Supervisors, Business Analysts, Finance Professionals
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
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?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Amsterdam, Istanbul, Paris, Barcelona, Munich, Kuala lumpur, London.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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