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Professional training 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 decisions. Leaders and managers who understand…

  • 5 daysClassroom
  • 16Upcoming dates
  • 7Cities
  • £2,250Fees from

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

Course outline

  1. 1Day 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
  2. 2Day 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
  3. 3Day 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
  4. 4Day 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
  5. 5Day 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

Dates and fees

16NOV 16 - 20 Nov 20265 days IstanbulTurkey £3,200+ VAT Register
7DEC 7 - 11 Dec 20265 days ParisFrance £4,400+ VAT Register
14DEC 14 - 18 Dec 20265 days BarcelonaSpain £4,200+ VAT Register
21DEC 21 - 25 Dec 20265 days MunichGermany £4,250+ VAT Register
4JAN 4 - 8 Jan 20275 days IstanbulTurkey £2,850+ VAT Register
1FEB 1 - 5 Feb 20275 days Kuala LumpurMalaysia £2,250+ VAT Register
1MAR 1 - 5 Mar 20275 days AmsterdamNetherlands £4,250+ VAT Register
5APR 5 - 9 Apr 20275 days LondonUnited Kingdom £4,200+ VAT Register
3MAY 3 - 7 May 20275 days Kuala LumpurMalaysia £2,250+ VAT Register
7JUN 7 - 11 Jun 20275 days AmsterdamNetherlands £4,250+ VAT Register
5JUL 5 - 9 Jul 20275 days LondonUnited Kingdom £4,200+ VAT Register
2AUG 2 - 6 Aug 20275 days BarcelonaSpain £3,850+ VAT Register
6SEP 6 - 10 Sep 20275 days LondonUnited Kingdom £4,200+ VAT Register
4OCT 4 - 8 Oct 20275 days BarcelonaSpain £3,850+ VAT Register
1NOV 1 - 5 Nov 20275 days IstanbulTurkey £2,850+ VAT Register
6DEC 6 - 10 Dec 20275 days AmsterdamNetherlands £4,250+ VAT Register

Questions

Frequently asked questions

How long is the Effective Business Decisions Using Data Analysis course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Effective Business Decisions Using Data Analysis course?

The next public date is 16 - 20 Nov 2026 in Istanbul. There are 16 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Istanbul, Paris, Barcelona, Munich, Kuala Lumpur, Amsterdam, London.

How much does the course cost?

Fees start from £2,250 + VAT per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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