Business Intelligence
- Translate management questions into a KPI catalogue with definitions, owners and data sources.
- Describe a BI architecture covering sources, ETL or ELT, data warehouse, semantic layer and reporting.
- Design a simple dimensional model with a fact table, conformed dimensions and appropriate grain.
- Compare enterprise and self-service BI approaches and select the right mix for a given organisation.
- Assess the organisation's BI maturity and prioritise improvements in a phased roadmap.
- BI Concepts and Value
- From data to decisions
- Reporting, analysis and monitoring use cases
- BI maturity models
- Requirements and KPIs
- Eliciting information needs from stakeholders
- KPI definitions and calculation rules
- Linking KPIs to strategy and performance agreements
- Data Integration
- Source systems and data extraction
- ETL and ELT patterns
- Data quality checks in pipelines
- Data Warehousing and Modelling
- Dimensional modelling and star schemas
- Slowly changing dimensions
- Data marts, lakehouses and semantic models
- BI Tools and Delivery
- Dashboards, reports and ad hoc analysis
- Enterprise and self-service BI platforms
- Mobile and embedded analytics
- BI Governance and Roadmap
- Data ownership and trusted shared datasets
- Security, privacy and access control
- Phased BI roadmap and adoption
الحصول على الكتيب
للحصول على كتيب بكامل محتويات الدورة برجاء ملء النموذج التالي ببياناتك الصحيحة

Program Professional Framework
Business Intelligence
Program Overview
Business intelligence turns scattered operational data into a trusted, shared view of performance. This programme explains how BI works end to end: defining information requirements and KPIs, source systems and data integration, data warehousing and dimensional modelling, OLAP and semantic models, self-service reporting tools, and the governance needed to keep a single version of the truth. Participants assess BI maturity in their own organisation and design a practical BI roadmap aligned with national data and digital government priorities in the Gulf.
Learning Outcomes
- ✓Translate management questions into a KPI catalogue with definitions, owners and data sources.
- ✓Describe a BI architecture covering sources, ETL or ELT, data warehouse, semantic layer and reporting.
- ✓Design a simple dimensional model with a fact table, conformed dimensions and appropriate grain.
- ✓Compare enterprise and self-service BI approaches and select the right mix for a given organisation.
- ✓Assess the organisation's BI maturity and prioritise improvements in a phased roadmap.
Target Audience
- BI and reporting team leads
- IT and data architects
- Strategy and performance management officers
- Department managers who sponsor reporting initiatives
Detailed Program Modules
01BI Concepts and Value
- From data to decisions
- Reporting, analysis and monitoring use cases
- BI maturity models
02Requirements and KPIs
- Eliciting information needs from stakeholders
- KPI definitions and calculation rules
- Linking KPIs to strategy and performance agreements
03Data Integration
- Source systems and data extraction
- ETL and ELT patterns
- Data quality checks in pipelines
04Data Warehousing and Modelling
- Dimensional modelling and star schemas
- Slowly changing dimensions
- Data marts, lakehouses and semantic models
05BI Tools and Delivery
- Dashboards, reports and ad hoc analysis
- Enterprise and self-service BI platforms
- Mobile and embedded analytics
06BI Governance and Roadmap
- Data ownership and trusted shared datasets
- Security, privacy and access control
- Phased BI roadmap and adoption
Training Methodology
Applied Project & Assessment
Applied Project
Participants prepare a BI blueprint for a department in their organisation: KPI catalogue, source-to-report architecture, a dimensional model sketch, governance roles and a twelve-month phased roadmap.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


