Data Vault Methodology
The Data Vault methodology is based on SEI/CMMI Level 5 best practices. It includes multiple components of CMMI Level 5, and combines them with best practices from Six Sigma, TQM, and SDLC. Particularly, it is focused on Scott Ambler's Agile Methodology for build out and deployment. Data Vault projects have a short, scope controlled release cycle and should consist of a production release every 2 to 3 weeks.
Teams using the Data Vault methodology will automatically adopt to the repeatable, consistent, and measurable projects that are expected at CMMI Level 5. Data that flows through the EDW Data Vault system will begin to follow the TQM (total quality management) life-cycle that has long been missing from BI (business intelligence) projects.
Six Sigma is used to manage risk, improve the quality of the business processes within the agile method for enhancing the deployment of the project itself.
Read more about this topic: Data Vault Modeling
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