Business Analytics - Data Decisions
Course ID: 260119 0101 027ESH
Course Dates : 19/01/2026 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 teaches how to turn data into clear decisions. You will learn to frame business questions, prepare and analyze relevant data, and present recommendations that stakeholders can act on. The focus is on practical methods you can apply to real problems: measurement, basic modeling, uncertainty, and communication. Sessions combine short lectures, hands-on exercises, and case work drawn from common business contexts.
Objectives
By the end of the course participants will be able to:
- Frame business problems as measurable analytics questions with clear success criteria.
- Select and prepare the appropriate data sources for an analysis.
- Apply descriptive, diagnostic, and basic predictive techniques to produce actionable insight.
- Quantify uncertainty, test key assumptions, and use results to compare options.
- Produce a concise decision brief that links findings to recommended actions and estimated impact.
- Frame business problems as measurable analytics questions with clear success criteria.
- Select and prepare the appropriate data sources for an analysis.
- Apply descriptive, diagnostic, and basic predictive techniques to produce actionable insight.
- Quantify uncertainty, test key assumptions, and use results to compare options.
- Produce a concise decision brief that links findings to recommended actions and estimated impact.
Who Should Attend
Business analyst responsible for requirements and KPIs
Product manager who must prioritize features and measure outcomes
Marketing manager planning campaign strategy and budget allocation
Operations manager leading process improvement or capacity decisions
Finance manager responsible for forecasting, investment cases, or business cases
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 – Decision-Driven Business Analytics
1. Defining Business Problems
- Identifying business challenges
- Converting problems into analytical questions
- Defining success criteria
2. Decision-Making Frameworks
- Data-driven decision processes
- Business objectives and outcomes
- Prioritising business decisions
3. Key Business Metrics
- Selecting relevant KPIs
- Leading and lagging indicators
- Measuring business performance
Day 2 – Data Collection and Preparation
1. Identifying Data Sources
- Internal business systems
- External data sources
- Selecting appropriate datasets
2. Preparing Data for Analysis
- Data cleaning techniques
- Handling missing and inconsistent data
- Organising datasets for analysis
3. Data Validation
- Verifying data accuracy
- Assessing data reliability
- Documenting assumptions
Day 3 – Business Data Analysis
1. Descriptive Analytics
- Summarising business data
- Identifying trends and patterns
- Performance comparisons
2. Diagnostic Analytics
- Root cause analysis
- Identifying performance drivers
- Comparing alternative scenarios
3. Basic Predictive Analytics
- Forecasting techniques
- Estimating future performance
- Supporting business planning
Day 4 – Decision Evaluation and Risk Analysis
1. Evaluating Business Options
- Comparing alternative solutions
- Cost-benefit analysis
- Decision matrices
2. Managing Uncertainty
- Risk identification
- Sensitivity analysis
- Testing assumptions
3. Business Impact Assessment
- Estimating operational impact
- Measuring financial outcomes
- Monitoring implementation results
Day 5 – Communicating Business Decisions
1. Presenting Analytical Findings
- Structuring business insights
- Data storytelling techniques
- Executive presentation skills
2. Decision Brief Development
- Writing concise recommendations
- Supporting recommendations with evidence
- Defining implementation actions
3. Practical Business Case
- Analysing a real business scenario
- Presenting recommendations
- Review and feedback
