Self-service Business Intelligence over On-Demand IoT Data: A New Design Methodology Based on Rapid Prototyping

Data Warehouse (DW) and OLAP systems are acknowledged as first citizens of Business Intelligence (BI) technologies, allowing the on-line analysis of huge volumes of data. However, traditional data-driven BI might not be enough to compete in the context of Industry 4.0, since the collection and analysis of data from the Internet of Things (IoT) requires a more responsive approach. Therefore, in this work, we present a new design methodology for Self-Service DW with On-Demand IoT Data, which is accompanied by a new UML profile for Stream Data Warehouses based on IoT data.