Musings on Project Management
MAY 4, 2018
You've got data! That's a good start. Now, working back to cause for these effects, what model fits the data? If you get the model right, you can forecast (gasp! estimate) what comes next. You can make two errors, both of which could be costly, but one more than the other: Underfit the data. Meaning: a "too tight" fit such that some data fits very well, and other data not so well.
Digite
MAY 4, 2018
This article is the second in a series of “Kanban and Scrum – Stronger Together”. Inspired by Steve Porter’s efforts to bring process practitioners closer together and educate Scrum practitioners, I’m writing a shadow series of posts that will follow the Kanban and Scrum – Stronger Together series and continue my own efforts to clear up misconceptions between practitioners of these methods.
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Green Project Management
MAY 4, 2018
There are a countless number of blog posts, books, articles, and papers on project competence or the application of knowledge, skills, and abilities in order to achieve the desired results (See the IPMA ICB 4.0) and even more materials on the knowledge of technical practices that a project manager should possess. There isn’t much discussion […].
TimeCamp
MAY 4, 2018
What Is Project Time Tracking? We are all very much surrounded by projects. Either when.
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GanttPRO Project Management
MAY 4, 2018
A recent InfoSys survey of more than 1,000 global C-level execs at large companies reveals that artificial intelligence has significantly changed the recruitment and hiring process and how teams are […].
GanttPRO Project Management
MAY 4, 2018
A recent InfoSys survey of more than 1,000 global C-level execs at large companies reveals that artificial intelligence has significantly changed the recruitment and hiring process and how teams are […]
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