The student will have knowledge about and will be able to apply the main software technologies of Business Intelligence for accessing data; for designing and developing datawarehouses, OLAP data cubes, and reports; and for extracting and applying predictive data mining models. The student will be able to assess, with independence and autonomy, the current and future software technologies for Business Intelligence with regard to the requirements of a specific data analysis task.

The student will be assessed on his/her demonstrated ability to use tools and methodologies of the Business Intelligence for problem solving. There is a lab exam (4 hours) and an oral exam.

Methods:

• Final oral exam
• Final laboratory practical demonstration

The student will be able to use software languages and tools for the design of datawarehouses, for their population through ETL flows, for the design and the query of OLAP data cubes, for the design of reports and dashboards in support of decision making.  The student will be also able to apply data mining tools to extract models from data, with special reference to predictive models for marketing and CRM.

Skills will be assessed through a project for the first module and lab exam for the second module. 

The student will be able to assess, with indepence and autonomy, the current and future software technologies for Business Intelligence with regard to the requirements of a specific data analysis task.