Organizations want to gain the benefits of agile – greater quality, improved stakeholder satisfaction, faster delivery, and higher productivity – for their Data Warehouse (DW)/Business Intelligence (BI) teams. In today's competitive business environment new DW/BI solutions must be delivered in weeks, not months or years. Enhancements must be delivered in hours or days, not weeks or months. These delivery timeframes sound like fanciful thinking for traditional teams but are commonly achieved by teams following Disciplined Agile approaches. The good news is that proven techniques exist for DW/BI practitioners to work in an agile manner. The bad news is that many existing DW/BI practitioners don't know that these techniques exist, or if they do they don't know how to apply them in practice. This workshop introduces these agile DW/BI techniques and shows how they fit together in practice.
Very often people start with Scrum, but they quickly discover that to make Scrum work for Agile DW/BI it needs to be significantly extended to address the challenges of DW/BI teams. These extensions include initial planning, initial requirements elicitation, initial architecture modeling, agile data modeling throughout construction, continuous database development, and streamlined deployment activities to name a few. The Disciplined Agile process decision framework has already done this extension work to address the challenges faced by DW/BI teams. Furthermore, because DA seamlessly supports both Scrum-based and continuous delivery strategies it is suitable for DW/BI teams new to agile as well as experienced teams looking to improve their approach. This workshop teaches you the techniques required to make agile DW/BI teams successful. An important aspect of this workshop is working through a DW/BI-specific case study.