Faculties and centres
Business Intelligence (BI) Applications allow us to improve the effectiveness of the decision making process in the company. In order to make use of these applications/tools, it is necessary to collect detailed and clear information about the operations and the activities or processes of the company itself for its subsequent analysis. This information is stored in a database in an integrated and unified manner. This repository of data is commonly known as the Data Warehouse (DA). The implementation of an AD is a costly task that requires following a systematic and a methodological process. This process includes specialized techniques for the design of the repository, for the modeling and processing of the information that will be stored in the DA, and for its later exploitation. Therefore, the success in this area for IT professionals directly depends on their ability not only to design the DA repository but also to identify, collect, and present the information about the company's processes in an accessible manner for non-expert users in Information Tecnology (IT). Furthermore, for some years now, Business Intelligence Applications have faced new challenges derived from the increase in size and typology of new data sources, such as data from sensors, mobile devices, virtual assistants, wearables, Open Data or Big Data. Therefore, all these new challenges will be studied in this course.
Specific Competences (Specific Technology):>>Information Systems
Know the basic concepts of Business Intelligence, as well as the different elements, actors, and disciplines involved.
Learn the techniques of design and development of Business Intelligence applications from a methodological point of view.
Learn the identification of Key Performance Indicators (KPI), its specification and the correct operation of the DW to obtain a better performance of the Business Intelligence in the company.
Know and apply the techniques of design and maintenance of a Data Warehouse and capture of the information through processes of Extraction / Transformation / Load (ETL).
Introducing business processes and their possibilities of data exploitation in the discipline of Business Intelligence.
Know how to design and define strategies for the implementation of Business Intelligence applications in the company in a systematic way.
Discover the new trends in Business Analytics' applications, including Big Data and its analytical possibilities for the improvement of strategic decision making.