PSC’s Data Warehouse lifecycle methodology is a ‘hybrid’ approach that integrates the most relevant components of Agile and Traditional development methodologies into a Data Warehouse approach that has a proven track record of success. We incorporate the proven structure of a traditional lifecycle (such as the Planning. Initiation and Analysis/Design Phases) and apply agile concepts and methodologies to deliver a flexible and streamlined process that gives your complicated Data Warehouse project the structure and discipline required to ensure success.

The key components of our methodology and the associated templates are listed below:

Traditional Data Warehouse methodologies/approaches are typically thought of as sequential and slow, but that is only true in the hands of a Project Manager and Technical lead that are inexperienced with Data Warehouse projects. Our approach ensures that proper data warehouse strategies and planning are completed so that we identify activities that can be run in parallel to reduce overall project timelines. Proper planning is a key component to ensure you truly know the level of effort, cost and timelines to successfully complete your data warehouse project.