Lifecycle Query: Is trending information or metrics needed in lifecycle queries?
Examining the top 10 themes discovered in the Jazz Plan Jam results are in! and I am looking for help/input in understanding theme #9 Cross lifecycle query* 217062 better.
Is retrospective analysis based on actual historical lifecycle data and metrics useful in continuous process improvement and project success rates, for example
- What was the impact of this requirement change
- What was the effort of the change
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Where are the hold-ups in the lifecycle
And please help us understand better whether the lifecycles queries should be real-time/live queries or are they better suited to data warehouse reporting?