Instantiating better views of data

In support of a better approach to merging Six Sigma with business intelligence practices, I wondered why such a large subset of the population of folks I have asked have believed the 2 to have distinct functions with no "transparent" overlap…Coupled with being somewhat non-objective because of my strong believes of there existing natural overlap and tendencies towards merge as we extend beyond traditional verticals…And while there are some who would call on the use of BI in business process managed organizations, I am most impressed by the manufacturing arena, in all of its data glory — with its traditional stereotypical data-sets, like Cpk and Ppk, gap analysis and run charts, usually compiled using applications like MS Excel, manufacturing companies see the operational world through the integration of process and data to form a perfect marriage of information driven decision and future innovation. Stratifying data into canonical dimensions for use in Pareto (80/20) charts seems like an integrated part of the day to day operations, in line with  financial operations or product engineering –
Enough said…
Here’s where Six Sigma fits in…Transitive property…remember that timeless classic from our mathematics classes or yesteryear? when A = B and B = C, then A = C? In the same vein, if Six Sigma was spawned out of manufacturing plants who for lack of a better BI solution, began to depend on MS Office databases and reporting tools, or a form of operational BI, than Six Sigma and BI are virtually the same in their need for data and information.
 
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