Executive Decision Making - Data Decisions
Course ID: 260615 0101 133ESH
Course Dates : 15/06/2026 Course Duration : 5 Studying Day/s Course Location: London, United Kingdom
Language: Bilingual
Course Category: Professional and CPD Training Programs
Course Subcategories:
Business Analytics & Insight Business Decision Making Performance Management Professional Practice & Standards 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 varies by course location and participant nationality.
Date has passed please contact us Sales@e-s-hub.com
Introduction
This five-day course helps senior leaders make better decisions using data. It focuses on practical methods to weigh evidence, manage uncertainty and align decisions with strategy. Sessions combine short frameworks, hands-on case work and decision rehearsals. The aim is clearer, faster decisions that reduce downside and speed execution.
Objectives
2. Assess data quality, bias and uncertainty and quantify their likely impact on outcomes.
3. Translate analytics outputs into business scenarios, expected value ranges and clear trade-offs.
4. Set decision rules, metrics and governance for monitoring outcomes and triggering course corrections.
5. Lead cross-functional decision workshops and produce concise decision memos that record rationale, risks and next steps.
Who Should Attend
Chief Executive Officers and Managing Directors
Chief Financial Officers (CFOs)
Heads of Product (VP/Director of Product)
Heads of Data or Analytics (Chief Data Officer / Head of Analytics)
Program, Portfolio or Strategy Directors responsible for major investment or operational choices
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.
Course 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.
Week 1
Day 1 – Foundations of Data-Driven Decision Making
1. Principles of Data-Driven Decisions
- Decision-making in executive environments
- Aligning decisions with organisational strategy
- Balancing evidence and judgement
2. Decision Frameworks
- Defining the decision problem
- Identifying decision alternatives
- Establishing evaluation criteria
3. Evidence-Based Thinking
- Gathering relevant business data
- Distinguishing facts from assumptions
- Identifying information gaps
Day 2 – Assessing Data Quality and Uncertainty
1. Evaluating Data Quality
- Assessing data reliability
- Identifying incomplete information
- Verifying data sources
2. Understanding Bias and Risk
- Recognising analytical bias
- Evaluating uncertainty
- Assessing decision risks
3. Quantifying Business Impact
- Estimating potential outcomes
- Comparing alternative scenarios
- Evaluating business consequences
Day 3 – Analysing Options and Trade-Offs
1. Business Scenario Analysis
- Developing alternative scenarios
- Assessing strategic implications
- Comparing expected outcomes
2. Evaluating Trade-Offs
- Balancing costs and benefits
- Prioritising competing objectives
- Supporting executive choices
3. Decision Recommendations
- Interpreting analytical findings
- Developing evidence-based recommendations
- Presenting executive conclusions
Day 4 – Decision Governance and Performance
1. Decision Governance
- Establishing decision rules
- Defining responsibilities
- Supporting transparent decision-making
2. Monitoring Outcomes
- Selecting performance metrics
- Tracking implementation results
- Identifying corrective actions
3. Continuous Decision Improvement
- Reviewing decision effectiveness
- Capturing lessons learned
- Improving future decision processes
Day 5 – Practical Executive Decision Workshop
1. Executive Decision Exercise
- Applying a structured decision framework
- Evaluating business scenarios
- Selecting the preferred option
2. Cross-Functional Decision Workshop
- Facilitating stakeholder discussions
- Managing differing viewpoints
- Building consensus around decisions
3. Decision Review and Planning
- Preparing an executive decision memo
- Defining implementation next steps
- Course review, feedback and implementation planning



















































