In order to reach full optimization (or full maturity) for the enterprise BI initiatives, all
miniprojects or minisprints must reach their full optimization as well. Otherwise, the
organization cannot achieve CMMI level 5. The Data Vault 2.0 methodology outlines (in
some levels of detail) how to tie these components together.

Once the team understands that all work is measured, monitored, and eventually
optimized, then Six Sigma mathematics can provide the business with a confidence rating
—showing improvement (or not) of the enterprise BI team and their progress, as a whole.
This is only part of the nature of total cost of ownership (TCO) and reducing TCO while
improving return on investment (ROI) for the business.

The Data Vault 2.0 methodology provides the patterns, the artifacts, and the repeatable
processes for building an enterprise BI solution, effectively and in a measured and
applied manner. Six Sigma seeks to assist the optimization of the teams, and the
implementation methods in order to streamline the agility and improve quality overall. In
other words, without Six Sigma, the words “better faster cheaper” cannot apply to
business intelligence projects.

Where Does TQM (Total Quality Management) Fit in to

All of This?

Total quality management (TQM) is the cream of the crop. TQM is necessary in order to
keep the moving parts of the enterprise BI solution well-oiled and running smoothly.
TQM is the icing on the cake (as it were). Turns out, TQM plays several roles in the Data
Vault 2.0 methodology; these roles will be briefly introduced and discussed below. In
order to better understand TQM, a definition is in order:

Total quality management (TQM) consists of organization-wide efforts to install and
make permanent a climate in which an organization continuously improves its ability to
deliver high-quality products and services to
customers.http://en.wikipedia.org/wiki/Total_quality_management

The Data Vault 2.0 methodology incorporates and aligns the goals and functions of TQM
with the purpose of producing better faster cheaper business intelligence solutions. It is
actually hard to imagine enterprise focused projects being run any other way. TQM offers
a view consistent with the business users and the deliverables that the enterprise BI
project strives to provide. Some of the fundamental primary elements behind TQM
include the following:

Chapter 6.4: Introduction to Data Vault Methodology