* Understand the diverse data landscape of modern organizations
* Be familiar with different data and file management systems such as RDBM, Data Warehouses, NoSQL and HDFS
* Analyse and design organizational data infrastructure using data modelling
* Apply ethical guidelines to analyse organizational data collection, storage and utilization
* Develop insights with respect to the BI lifecycle in organizations, ranging from ETL to end user applications

In the course "Business Intelligence Systems" students learn about the myriad of ways organizations collect, store, manage and analyse data as well as the foundational technologies of the Big Data era. While talk of Big Data and its applications is dominating the headlines of the business press, many organizations struggle with organizing their corporate data and managing it in a strategic, efficient, and ethical manner. In this course students will become familiar with all aspects of the Business Intelligence lifecycle, ranging from the initial extract, transform and load (ETL) processes over data storage to the final end-user application. In doing so we will discuss about different database and file management systems but will also dedicate an equal amount of time to discussing aspects related to Business Intelligence architecture and Business Intelligence Strategy. The course is designed to give equal attention to the understanding of the technical and theoretical principles that underpin organizational Business Intelligence, as well as to the practical application of this knowledge. As such this course makes use of the case studies methodologies in which students are asked to apply their theoretical knowledge towards resolving real-life cases.

Academic Articles, Case Studies (Harvard Business Cases)

big data, data management, data governance