From the process perspective
Understanding process and its attributes during process executions is crucial in interpreting data analysis results
Having process definition does not guarantee consistent execution
Process clusters can be identified by process similarity assessment which is closely related to the purpose of quantitative analyses
Understanding of process executions and their contextual information can be refined by control charting and interpreting
Defines standard
Replaced/Superseded by document(s)
Cancelled by
Amended by
| File | MIME type | Size (KB) | Language | Download | |
|---|---|---|---|---|---|
| Apply Quantitative Management Now.pptx | application/vnd.openxmlformats-officedocument.presentationml.presentation | 706.06 KB | English | DOWNLOAD! |
Provides definitions
Cover images
Introduction
Quantitative techniques enables to understand, analyze, and improve processes resulting in reduced costs, improved yield, less waste and rework[1].
Process reference models like CMMI and ISO/IEC 15504 Information Technology – Process Assessment consists of quantitative management techniques as a crucial step in achieving higher ML