Business Analytics - Business Intelligence
Course ID: 260119 0101 874Proj
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: 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.
Date has passed please contact us Sales@e-s-hub.com
Introduction
This five-day course teaches practical methods for turning raw data into clear business intelligence. You will learn how to collect, model, analyze and deliver data so teams can make informed decisions. The course emphasizes reliable metrics, repeatable pipelines, and stakeholder-facing reports. Labs use realistic datasets and business scenarios.
Objectives
1. Design and build interactive dashboards that present validated KPIs and support stakeholder workflows.
2. Create repeatable ETL/ELT processes to consolidate, clean, and prepare data from multiple sources.
3. Write efficient SQL and use a BI tool to perform exploratory and descriptive analysis.
4. Define metric definitions, lineage, and basic governance to ensure a single source of truth.
5. Translate business questions into report specifications and deliver clear, actionable findings.
2. Create repeatable ETL/ELT processes to consolidate, clean, and prepare data from multiple sources.
3. Write efficient SQL and use a BI tool to perform exploratory and descriptive analysis.
4. Define metric definitions, lineage, and basic governance to ensure a single source of truth.
5. Translate business questions into report specifications and deliver clear, actionable findings.
Who Should Attend
1. Business analysts who produce reports or define metrics.
2. Data analysts responsible for querying and visualizing business data.
3. Reporting/dashboard developers who build and maintain BI assets.
4. Data engineers involved in ETL/ELT and analytics data modeling.
5. Functional managers (finance, sales, operations, product) who rely on BI outputs for decisions.
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 Business Intelligence
1. Introduction to Business Intelligence
- Definition and evolution of Business Intelligence
- BI versus Business Analytics
- The value of BI in modern organisations
2. Business Intelligence Architecture
- Components of a BI system
- Data flow within BI environments
- Roles and responsibilities in BI projects
3. Business Intelligence Strategy
- Aligning BI with business objectives
- Identifying key business requirements
- Developing a BI roadmap
Day 2 – Data Management and Integration
1. Data Sources
- Internal operational systems
- External data sources
- Structured and unstructured data
2. Data Warehousing
- Data warehouse concepts
- Data marts and repositories
- ETL (Extract, Transform, Load) processes
3. Data Quality and Governance
- Data accuracy and consistency
- Data governance principles
- Data security and compliance
Day 3 – Reporting and Data Visualisation
1. Business Reporting
- Operational reports
- Management reports
- Executive dashboards
2. Data Visualisation
- Selecting appropriate visualisations
- Dashboard design principles
- Storytelling with data
3. Key Performance Indicators (KPIs)
- Defining meaningful KPIs
- Monitoring organisational performance
- Benchmarking and trend analysis
Day 4 – Business Intelligence Analysis
1. Analytical Techniques
- Descriptive analysis
- Diagnostic analysis
- Predictive analysis
2. Decision Support Systems
- Data-driven decision making
- Scenario analysis
- Performance optimisation
3. Business Intelligence Applications
- Finance and budgeting
- Sales and marketing analysis
- Operations and supply chain monitoring
Day 5 – BI Implementation and Continuous Improvement
1. Business Intelligence Projects
- Planning BI initiatives
- Managing implementation risks
- Measuring project success
2. Practical BI Workshop
- Building interactive dashboards
- Analysing business cases
- Presenting analytical findings
3. Future of Business Intelligence
- Artificial Intelligence in BI
- Self-service Business Intelligence
- Continuous improvement and BI maturity
