Speaker: Alejandro Maté
University of Alicante, Spain
Title: Requirements engineering for data warehouses: A perspective focused on change
Data warehouses (DW) integrate several heterogeneous sources in order to support the decision making process. Information is extracted from these sources and integrated into a unified multidimensional model. In order to select which information will be integrated into the DW, recent DW development approaches propose to include a requirements analysis step using goal models. These goal models capture the intentions of the decision makers, allowing designers to identify the information required. However, nowadays organizations find themselves in a fast-changing, highly competitive environment. This environment forces organizations to adapt, in order to maintain their position. These changes influence the strategy of the companies, as well as the information required to take decisions. Therefore, these changes must be reflected in the requirements specification, and propagated to the DW in order to maintain an adequate support for the decision making process. Nevertheless, incorporating incremental changes is not explicitly considered in current development processes. In turn, DW development faces a series of challenges when dealing with change. We enumerate these challenges and propose different approaches to tackle them.