Business Intelligence

1. Introduction to the Business Intelligence principles.

2. The essence of the management system and support based through the Business Intelligence components.

3. Basic principles of dimensional modeling and design techniques of the Business Intelligence datawarehouses.

4. Business Intelligence system architecture - basic components and layers of data warehouse architecture components and basic aspects of collecting, storing and processing data, basic types of data warehouse storage.

5. Principles of data pump design and implementation, meaning and use of metadata in ETL and ELT processes, important aspects of data quality solutions.

6. Basic types and application aspects of BI system output interface software tools, principles of OLAP techniques.

7. Principles of SQL and MDX languages when querying data in data warehouses, visualization of query results and reporting services.

8. Basic principles of data mining (data mining) and the relationship to Business Intelligence.

9. The basic essence of Competitive Intelligence and work with data sources from the Big Data category, the essence of the process of unstructured data analysis incl. in connection with Competitive Intelligence, relation to the principles of OLAP and management reporting.

10. Strategic and tactical aspects of the planning and implementation of the Business Intelligence system, the life cycle of the system, the importance of cloud computing and EAI solutions when planning the implementation of the system, the possibility of using the principles of agile-oriented project management methodologies.