Strategic Analysis - Business Intelligence
Course ID: 261102 0101 1164Proj
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 Subcategories:
Business Analytics & Insight Business Decision Making Corporate Strategy Financial Analysis Strategic Management
Course Certified By: Projacs Academy & 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.
Pay in Full Now
Introduction
This five-day course shows how to turn business data into decision-ready intelligence. You will learn to connect strategy to measurable metrics, design practical BI solutions, and build dashboards that prompt action. Course work combines architecture choices, analytics techniques, and communication practice using real business scenarios. The emphasis is on concrete steps you can apply immediately to improve reporting accuracy, decision speed, and stakeholder alignment.
Objectives
2. Design a scalable BI architecture that balances data quality, performance, and cost for a given use case.
3. Build end-to-end analytics workflows: select sources, specify transformations, and assemble prototype dashboards.
4. Analyze data to produce clear, evidence-based insights and a prioritized set of recommended actions.
5. Prepare and deliver stakeholder-ready presentations that include implementation steps, ownership, and expected business impact.
Who Should Attend
1. Business Intelligence Manager or Team Lead responsible for BI strategy and delivery
2. Business Analyst focused on reporting, metrics, or decision support
3. Product Manager who needs to set data-driven roadmaps and success metrics
4. FP&A (Financial Planning & Analysis) Analyst or Manager responsible for financial reporting and forecasts
5. Strategy or Operations Manager leading cross-functional initiatives that depend on analytics
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
Business Intelligence Fundamentals
- Understanding the role of business intelligence in decision-making
- Linking data capabilities with organisational strategy
- Identifying key components of BI solutions
Business Objectives and Metrics
- Translating business goals into measurable objectives
- Defining relevant KPIs
- Establishing reporting requirements
Data-Driven Decision Making
- Understanding how data supports decisions
- Identifying information needs across stakeholders
- Improving decision quality through insights
Day 2
BI Architecture Fundamentals
- Understanding components of BI architecture
- Evaluating data sources and structures
- Balancing performance, quality and cost considerations
Data Management for BI
- Understanding data quality requirements
- Defining data preparation approaches
- Supporting reliable reporting processes
Analytics Workflow Design
- Planning end-to-end analytics workflows
- Defining data transformation requirements
- Preparing data for analysis
Day 3
Dashboard Development
- Designing practical BI dashboards
- Selecting appropriate visualisations
- Presenting information clearly
Data Analysis Techniques
- Analysing business data
- Identifying trends and patterns
- Generating evidence-based insights
Insight Development
- Converting analysis into business recommendations
- Prioritising improvement opportunities
- Supporting strategic decisions
Day 4
BI Solution Implementation
- Developing prototype BI solutions
- Reviewing implementation requirements
- Aligning solutions with business needs
Reporting and Performance Management
- Creating effective reporting structures
- Connecting dashboards with business objectives
- Improving reporting accuracy
Stakeholder Alignment
- Understanding stakeholder information needs
- Communicating BI value effectively
- Supporting adoption of BI solutions
Day 5
Business Intelligence Application
- Applying BI approaches to business scenarios
- Developing practical analytics solutions
- Improving decision-support capability
BI Implementation Planning
- Defining implementation steps
- Establishing ownership and responsibilities
- Identifying expected business impact
Review and Action Planning
- Reviewing strategic analysis business intelligence tools and frameworks
- Preparing a personal implementation or development plan
- Course review, feedback and implementation planning



















































