2 thoughts on “The market correctly predicted twenty four of the twenty six project milestones (92%). – Acxiom”
There is a further link provided in that article which should give you some more insight. It seems there was a control group but I can’t find the final analysis/results.
–
The mind boggles at why the researchers would choose a setting like this when it is obvious that problems grow exponentially when projects become bigger, with increased complexity. They had such good arguments (or was it Inkling? – none of these bloody links work anymore).
–
I’ve come clean and described the problems we’re facing in IT. There is another huge project going on and they are just as desperate as we are. There was another one a couple of years ago and they failed in every respect.
It seems these problems arise when projects have to install a lot of software as opposed to hardware, although we have both.
–
The 92% figure is irrelevant IMO, and I have a feeling the authors already found out about that, sneakily hiding the final results from us.
There is a further link provided in that article which should give you some more insight. It seems there was a control group but I can’t find the final analysis/results.
–
The mind boggles at why the researchers would choose a setting like this when it is obvious that problems grow exponentially when projects become bigger, with increased complexity. They had such good arguments (or was it Inkling? – none of these bloody links work anymore).
–
I’ve come clean and described the problems we’re facing in IT. There is another huge project going on and they are just as desperate as we are. There was another one a couple of years ago and they failed in every respect.
It seems these problems arise when projects have to install a lot of software as opposed to hardware, although we have both.
–
The 92% figure is irrelevant IMO, and I have a feeling the authors already found out about that, sneakily hiding the final results from us.
There is a further link provided in that article which should give you some more insight. It seems there was a control group but I can’t find the final analysis/results.
–
The mind boggles at why the researchers would choose a setting like this when it is obvious that problems grow exponentially when projects become bigger, with increased complexity. They had such good arguments (or was it Inkling? – none of these bloody links work anymore).
–
I’ve come clean and described the problems we’re facing in IT. There is another huge project going on and they are just as desperate as we are. There was another one a couple of years ago and they failed in every respect.
It seems these problems arise when projects have to install a lot of software as opposed to hardware, although we have both.
–
The 92% figure is irrelevant IMO, and I have a feeling the authors already found out about that, sneakily hiding the final results from us.
There is a further link provided in that article which should give you some more insight. It seems there was a control group but I can’t find the final analysis/results.
–
The mind boggles at why the researchers would choose a setting like this when it is obvious that problems grow exponentially when projects become bigger, with increased complexity. They had such good arguments (or was it Inkling? – none of these bloody links work anymore).
–
I’ve come clean and described the problems we’re facing in IT. There is another huge project going on and they are just as desperate as we are. There was another one a couple of years ago and they failed in every respect.
It seems these problems arise when projects have to install a lot of software as opposed to hardware, although we have both.
–
The 92% figure is irrelevant IMO, and I have a feeling the authors already found out about that, sneakily hiding the final results from us.