Gary Sutton

But we don't know the relationships between those tasks.

We don't know how long each task will take.

We don't know what the critical path of the project really is.

We can't figure out what the project timeline really is.

We can't develop a probability for completing a project by a certain date or within a certain time frame.

Those are the quantitative techniques that should be applied to project management.

But even seasoned project managers don't know what they are.

And the companies that are hiring project managers and assigning them to projects, they don't know them either.

And so you've got projects that are, like I said, they're complete clusterfucks.

Well, maybe one is resulting or leading to the other.

So it might sound dull, but I think...

Like I said, everything in the workplace is done through a project.

So shouldn't you figure out how to manage those projects effectively?

So that's what I'm going to be discussing is those quantitative techniques and how those can be applied within R. Awesome, man.

I really, I really appreciate the opportunity to be here.

Thanks for coming.

Love, love being here.

I love having an opportunity to discuss some of my work and some of my thoughts and some things.