Course Information

Introduction

This 45-day Business Analytics Executive Master develops advanced knowledge and practical skills required to transform business data into meaningful insights that support strategic decision-making and organizational performance improvement.

The program focuses on data fundamentals, KPI development, dashboards, data-driven decision-making, analysis tools, performance models, reporting and business intelligence. Participants will learn how to understand business data, design effective measurement systems, analyze performance trends, develop executive dashboards and use business intelligence approaches to support organizational strategy.

Through analytical frameworks, data tools, case studies and applied projects, participants will develop the ability to improve decision-making, enhance performance management and create value through effective use of business analytics.

The final five days are dedicated to a thesis project, where participants apply the business analytics concepts and tools learned throughout the Master to analyze a real organizational data challenge and develop a structured improvement plan.

Objectives

By the end of this Executive Master, participants will be able to:

1. Understand business data fundamentals and apply data concepts to support organizational analysis and decision-making.

2. Develop KPI frameworks that measure performance, track objectives and support continuous improvement.

3. Design effective dashboards that present business information clearly for management and executive decisions.

4. Apply data-driven decision-making approaches to identify opportunities, solve problems and improve performance.

5. Use business analysis tools and techniques to evaluate organizational information and trends.

6. Develop performance models that connect data, objectives and organizational outcomes.

7. Create effective reporting systems that improve visibility, communication and management control.

8. Understand business intelligence concepts and apply analytical approaches to support strategic decisions.

9. Complete a practical thesis project that applies business analytics concepts, tools and frameworks to an organizational data challenge and presents an improvement plan.

Who Should Attend?

This Executive Master is designed for:

1. Executives, senior managers and business leaders seeking to improve decision-making through data.

2. Business analysts, data professionals and reporting specialists responsible for business insights.

3. Performance management and strategy professionals developing measurement systems.

4. Operations, finance, marketing and HR professionals using data to improve business performance.

5. Managers and professionals seeking to develop advanced business intelligence and analytics capabilities.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Post-assessment
If Applicable:
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection

Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.

Part 2 / 9

Understanding Performance Indicators

- Exploring the role of KPIs in measuring organizational performance.
- Understanding the relationship between objectives, indicators and results.
- Identifying suitable KPIs for different business functions.


Developing KPI Frameworks

- Designing KPI systems aligned with organizational objectives.
- Defining targets, measurement methods and reporting requirements.
- Creating balanced performance measurement approaches.


Using KPIs for Improvement

- Analyzing KPI results to identify performance gaps.
- Supporting decisions through measurable insights.
- Developing improvement actions based on KPI outcomes.

Part 3 / 9

Understanding Business Dashboards

- Exploring the purpose and value of dashboards in management.
- Understanding dashboard design principles and user requirements.
- Identifying key information needed for effective monitoring.


Designing Effective Dashboards

- Selecting relevant data and performance indicators.
- Presenting information clearly for different audiences.
- Creating dashboards that support quick understanding and action.


Using Dashboards for Management

- Applying dashboards in operational and strategic reviews.
- Improving visibility of business performance.
- Supporting faster and more informed decisions.

Part 4 / 9

Understanding Data-Driven Decision Making

- Exploring the role of data in improving business decisions.
- Understanding the difference between assumptions and evidence-based decisions.
- Identifying decision areas where analytics creates value.


Applying Analytical Thinking

- Using data insights to identify business opportunities and challenges.
- Evaluating information before making decisions.
- Improving problem-solving through structured analysis.


Building Data-Driven Organizations

- Encouraging effective use of data across teams.
- Supporting decision-making cultures based on evidence.
- Improving organizational performance through analytics adoption.

Part 5 / 9

Understanding Business Analysis Tools

- Exploring tools used to analyze business information.
- Understanding analytical methods for identifying patterns and trends.
- Selecting appropriate tools based on business requirements.


Applying Data Analysis Methods

- Organizing and interpreting business information.
- Identifying relationships, trends and performance factors.
- Supporting decisions through analytical findings.


Improving Analytical Capability

- Developing structured approaches to business analysis.
- Communicating analytical results effectively.
- Supporting continuous improvement through data insights.

Part 6 / 9

Understanding Performance Models

- Exploring models used to evaluate organizational performance.
- Understanding relationships between objectives, processes and outcomes.
- Identifying factors that influence business results.


Developing Performance Frameworks

- Creating models that connect strategy with measurable outcomes.
- Aligning performance measures across organizational levels.
- Supporting effective performance management.


Using Models for Improvement

- Analyzing performance gaps and improvement opportunities.
- Supporting strategic and operational decisions.
- Developing approaches for continuous performance improvement.

Part 7 / 9

Understanding Business Reporting

- Exploring the role of reporting in management and decision-making.
- Understanding reporting requirements for different stakeholders.
- Identifying elements of effective business reports.


Developing Management Reports

- Creating structured reports that communicate performance clearly.
- Presenting analytical findings effectively.
- Supporting management reviews through accurate information.


Improving Reporting Systems

- Evaluating reporting processes and improvement opportunities.
- Reducing information gaps through better reporting.
- Building consistent reporting practices.

Part 8 / 9

Understanding Business Intelligence

- Exploring the concepts and value of business intelligence.
- Understanding how organizations use data to create insights.
- Identifying the role of BI in strategic decision-making.


Applying Business Intelligence Approaches

- Integrating data from different business sources.
- Supporting analysis through structured BI methods.
- Improving organizational visibility through information systems.


Building BI Capabilities

- Developing approaches for effective BI adoption.
- Supporting data accessibility and informed decisions.
- Creating sustainable analytical practices.

Part 9 / 9 Executive Masters Thesis

Business Analytics Improvement Thesis

Day 41: Thesis Definition and Planning

- Identify an organizational business analytics challenge related to the topics covered during the Master.
- Define the thesis problem statement, objectives and expected outcomes.
- Establish the scope, methodology and approach for the thesis project.


Day 42: Research and Data Analysis

- Collect relevant information about the selected business analytics challenge.
- Apply data basics, KPIs, dashboards, data decisions, analysis tools, performance models, reporting and business intelligence frameworks learned during the program.
- Analyze current data practices, gaps and improvement opportunities.


Day 43: Developing Analytics Solutions

- Develop recommendations to improve data usage and analytical effectiveness.
- Create an implementation roadmap with actions and responsibilities.
- Define measures to evaluate analytics improvement outcomes.


Day 44: Thesis Writing and Final Review

- Structure the thesis document using a professional format.
- Review analysis, recommendations and business analytics improvement approach.
- Prepare the executive summary and final presentation materials.


Day 45: Thesis Presentation and Evaluation

- Present the completed business analytics improvement thesis project.
- Receive feedback and evaluation on the proposed solutions.
- Finalize practical actions for applying business analytics improvements within the organization.