Project Management Analytics

Luis,

sorry, I do not have an expert contact at hand for your question.

I understand that several PPM tool providers claim to use thorough data gathering and analysis for project insights, far beyond what PMBoK ed6 states and beyond performance aspects. This is particular true if they state to 'use' AI, like can-do.de, lili.ai or others, perflo. Most provide insights only into parts of projects (like team moral, scheduling).

My personal view, from 40+ years on projects, is that the role of data in project management is overrated. Most decisions are arrived with a significant lack of information, under time pressure and rely on gut feelings. But that is another discussion.

Thomas

You should probably speak with someone who works in Big Data.

There are a variety of ways you can perform data analytics against projects, although some are a more natural fit than others. Things like cost and schedule variances are numerical by nature so they are an obvious fit.

Scope is often more abstract, but big data ecosystems (e.g. Apache Hadoop) include tools that can reveal patterns such as frequency of key words which may point to patterns as well. A colleague of mine even found that the frequency of specific obscenities heard over Xbox Live have a strong correlation to specific system performance issues.

I did Google "PMI big data", and I found a variety of links to articles that might point you to PMI members in the field or at least get you closer to the right contacts. Unfortunately my own expertise is mostly academic and somewhat dated.