Executive Master in Strategic Finance and Business Leadership

Course Title:  Strategic Analysis - Data-Driven Decisions

Course ID:   261102 0101 315ESH

Course Dates :          02/11/2026            Course Duration :   5   Studying Day/s  Course Location: London,   United Kingdom

Language:  Bilingual

Course Category:  Professional and CPD Training Programs

Course Category:          Business Analytics & Insight Business Decision Making Corporate Strategy Financial Analysis Strategic Management 

Course Certified By:

  ESHub CPD & LondonUni - Executive Management Training


* Professional Training and CPD Programs
Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate

Certification Will Be Issued:  From London, United Kingdom


Course Fees: 

VAT may vary depending on the country where the course or workshop is held.

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Course outlines

Course

 Strategic Analysis - Data-Driven Decisions

Outlines

Executive Master in Strategic Finance and Business Leadership

Course Information

Introduction

This course shows how to turn data into clear strategic choices. It focuses on structuring problems, selecting and validating data, and producing analyses that influence decisions. Participants practice methods and templates they can apply directly to real initiatives.

Objectives

1. Frame and prioritize strategic questions using hypothesis-driven problem structuring.
2. Identify, access, and prepare datasets relevant to the strategic issue, including basic cleaning and validation.
3. Apply descriptive and diagnostic analytics to surface performance gaps and root causes.
4. Develop and evaluate simple predictive models or scenario analyses for decision use.
5. Create concise recommendations and stakeholder-ready visuals and briefings that drive action.

Who Should Attend?

1. Product managers responsible for defining and tracking product metrics
2. Corporate strategy managers and strategy analysts
3. Business analysts and operations managers who translate data into improvement plans
4. Data analysts moving into strategic advisory roles
5. Program, portfolio, or business unit leaders who must justify investments

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.

Course Outlines

Week 1
Day 1

Data-Driven Strategy Fundamentals
- Understanding the role of data in strategic decision-making
- Linking data analysis with business objectives
- Identifying key elements of data-driven approaches

Strategic Problem Structuring
- Defining strategic questions clearly
- Applying hypothesis-driven thinking
- Prioritising business issues for analysis

Data Requirements Planning
- Identifying relevant data sources
- Defining information requirements
- Preparing data collection approaches

Day 2

Data Preparation and Validation
- Understanding basic data cleaning methods
- Validating data quality and reliability
- Preparing datasets for analysis

Descriptive Analytics
- Analysing historical performance data
- Identifying trends and patterns
- Supporting evidence-based understanding

Diagnostic Analytics
- Investigating performance gaps
- Identifying root causes
- Connecting data findings with business challenges

Day 3

Strategic Data Analysis
- Applying analytical methods to strategic questions
- Interpreting analytical results
- Developing meaningful business insights

Predictive Analysis Fundamentals
- Understanding predictive modelling concepts
- Evaluating future scenarios
- Supporting strategic forecasting

Scenario Analysis
- Developing alternative business scenarios
- Assessing potential outcomes
- Supporting strategic choices

Day 4

Decision-Making with Data
- Connecting analysis with strategic decisions
- Evaluating options using evidence
- Supporting investment decisions

Strategic Recommendations
- Developing clear recommendations
- Prioritising actions based on analysis
- Linking recommendations with business objectives

Stakeholder Communication
- Presenting analytical findings effectively
- Preparing decision-focused briefings
- Improving stakeholder understanding

Day 5

Data-Driven Strategy Application
- Applying analytical methods to business scenarios
- Developing practical strategic insights
- Improving decision-making capability

Strategic Analytics Implementation
- Establishing repeatable analytical practices
- Supporting ongoing data-driven decisions
- Improving organisational capability

Review and Action Planning
- Reviewing strategic analysis data-driven decisions tools and frameworks
- Preparing a personal implementation or development plan
- Course review, feedback and implementation planning