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Chapter 6.4: Introduction to Data Vault Methodology
Fig. 6.4.1 Data Vault 2.0 methodology overview.
The methodology for data vault projects is based on best practices pulled from disciplined
agile delivery (DAD), automation and optimization principles (CMMI, KPAs, and KPIs),
Six Sigma error tracking and reduction principles, Lean Initiatives, and cycle time
reduction principles.
In addition, the data vault methodology takes in to account a notion known as managed
self-service BI. The notion of managed self-service BI is introduced in the Data Vault 2.0
architecture section of this chapter.
The idea of the methodology is to provide teams with current working practices and a
well-laid out IT process for building data warehouse systems (business intelligence
systems) in repeatable fashion, reliably and rapidly.
How Does CMMI Contribute to the Methodology?
Carnegie Mellon's Capability Maturity Model Integration (CMMI) contains the
foundations of management, measurement, and optimization. These components are
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