Many businesses don't merge and analyze data effectively. When data are united from varied sources that are independent across a company-something that is practical and inexpensive -it becomes possible to conduct demanding pretest-posttest comparisons of complicated datasets with a precision, speed, and breadth that have impractical until now.
This post describes a procedure for merging independent datasets and using the compiled data to run informative quantitative evaluations that facilitate sound decision making. This strategy can help support several critical endeavors in evidence-based direction: documenting changes in the corporate culture; quantifying linkages between "soft" perceptual variants and "difficult" performance metrics; running rigorous pretest-posttest comparisons; and assessing system effectiveness.
PUBLICATION DATE: November 01, 2009 PRODUCT #: CMR443-PDF-ENG
This is just an excerpt. This case is about TECHNOLOGY & OPERATIONS
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